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On the connection between quantum pseudorandomness and quantum hardware assumptions Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-04-29 Mina Doosti,Niraj Kumar,Elham Kashefi,Kaushik Chakraborty
Abstract This paper, for the first time, addresses the questions related to the connections between quantum pseudorandomness and quantum hardware assumptions, specifically quantum physical unclonable functions (qPUFs). Our results show that efficient pseudorandom quantum states (PRS) are sufficient to construct the challenge set for universally unforgeable qPUFs, improving the previous existing constructions
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Feedback-enabled microwave quantum illumination Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-04-26 Mehri Sadat Ebrahimi,Stefano Zippilli,David Vitali
Abstract A simple feedback scheme can be used to operate efficiently a microwave-quantum-illumination device based on electro-optomechanical systems also in regimes in which excess dissipation would, otherwise, prevent to outperform the optimal classical illumination protocol with the same transmitted energy.
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Evaluation of QAOA based on the approximation ratio of individual samples Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-04-22 Jason Larkin,Matias Jonsson,Daniel Justice,Gian Giacomo Guerreschi
Abstract Abstract—The Quantum Approximate Optimization Al-gorithm (QAOA) is a hybrid quantum-classical algorithmto solve binary-variable optimization problems. Due to theshort circuit depth and its expected robustness to systematicerrors it is a promising candidates likely to run on near-term quantum devices. We simulate the performance ofQAOA applied to the Max-Cut problem and compareit with some
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Optimization of energy production in two-qubit heat engines using the ecological function Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-04-19 J J Fernández
Abstract We study the ecological regime of quantum heat engines where the heat transfer between the environment and the engine is mediated with two qubits that act as energy filters and allow the conversion of heat into work. Using quantum thermodynamics, the theory of open quantum system and the fundamentals of finite-time thermodynamics we obtain the output power, the ecological function and the
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A deterministic single ion fountain Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-04-19 Felix Stopp,Henri Lehec,Ferdinand Schmidt-Kaler
Abstract We present an alternative approach for interconnecting trapped ion processor nodes by deterministic single ion transfer. In our experiments, we demonstrate the single ion extraction out of a linear Paul trap, into a free space trajectory, followed by recapture in the trapping potential. We recapture in the same trap, coined the ion fountain operation after a free-space travel of distance 110 mm
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Quantum computation of phase transition in the massive Schwinger model Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-04-19 Shane Thompson,George Siopsis
Abstract As pointed out by Coleman, physical quantities in the Schwinger model depend on a parameter θ that determines the background electric field. There is a phase transition for θ = π only. We develop a momentum space formalism on a lattice and use it to perform a quantum computation of the critical point of this phase transition on the NISQ device IMB Q Lima. After error mitigation, our results
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Engineering an effective three-spin Hamiltonian in trapped-ion systems for applications in quantum simulation Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-04-08 Bárbara Andrade,Zohreh Davoudi,Tobias Graß,Mohammad Hafezi,Guido Pagano,Alireza Seif
Abstract Trapped-ion quantum simulators, in analog and digital modes, are considered a primary candidate to achieve quantum advantage in quantum simulation and quantum computation. The underlying controlled ion–laser interactions induce all-to-all two-spin interactions via the collective modes of motion through Cirac–Zoller or Mølmer–Sørensen schemes, leading to effective two-spin Hamiltonians, as
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Global Heisenberg scaling in noisy and practical phase estimation Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-04-01 Masahito Hayashi,Zi-Wen Liu,Haidong Yuan
Abstract Heisenberg scaling characterizes the ultimate precision of parameter estimation enabled by quantum mechanics, which represents an important quantum advantage of both theoretical and technological interest. Here, we present a comprehensive and rigorous study of the attainability of strong, global notions of Heisenberg scaling (in contrast to the commonly studied local estimation based on e
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A scalable helium gas cooling system for trapped-ion applications Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-29 F R Lebrun-Gallagher,N I Johnson,M Akhtar,S Weidt,D Bretaud,S J Hile,A Owens,F Bonus,W K Hensinger
Abstract Microfabricated ion-trap devices offer a promising pathway towards scalable quantum computing. Research efforts have begun to focus on the engineering challenges associated with developing large-scale ion-trap arrays and networks. However, increasing the size of the array and integrating on-chip electronics can drastically increase the power dissipation within the ion-trap chips. This leads
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Benchmarking embedded chain breaking in quantum annealing * Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-29 Erica Grant,Travis S Humble
Abstract Quantum annealing solves combinatorial optimization problems by finding the energetic ground states of an embedded Hamiltonian. However, quantum annealing dynamics under the embedded Hamiltonian may violate the principles of adiabatic evolution and generate excitations that correspond to errors in the computed solution. Here we empirically benchmark the probability of chain breaks and identify
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Experimental multi-state quantum discrimination through optical networks Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-24 Alessandro Laneve,Andrea Geraldi,Frenkli Hamiti,Paolo Mataloni,Filippo Caruso
Abstract Developing strategies to effectively discriminate between different quantum states is a fundamental issue in quantum information and communication. The actual realization of generally optimal protocols in this task is often limited by the need of supplemental resources and very complex receivers. We have experimentally implemented two discrimination schemes in a minimum-error scenario based
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Inverse iteration quantum eigensolvers assisted with a continuous variable Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-24 Min-Quan He,Dan-Bo Zhang,Z D Wang
Abstract The capacity for solving eigenstates with a quantum computer is key for ultimately simulating physical systems. Here we propose inverse iteration quantum eigensolvers, which exploit the power of quantum computing for the classical inverse power iteration method. A key ingredient is constructing an inverse Hamiltonian as a linear combination of coherent Hamiltonian evolution. We first consider
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A secure crossing two qubits protocol based on quantum homomorphic encryption Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-24 Zhen-Wen Cheng,Xiu-Bo Chen,Gang Xu,Yan Chang,Yu Yang,Yi-Xian Yang
Abstract In order to solve the information leakage caused by dishonest intermediate nodes in quantum network coding, we apply quantum homomorphic encryption to the butterfly network, and propose a secure protocol for crossing two qubits. Firstly, in the communication process between two senders and the first intermediate node, two senders encrypt their measured particles and send them to the first
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Phase diagrams, quantum correlations and critical phenomena of antiferromagnetic Heisenberg model on diamond-type hierarchical lattices Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-22 Pan-Pan Zhang,Zhong-Yang Gao,Yu-Liang Xu,Chun-Yang Wang,Xiang-Mu Kong
Abstract The spin-1/2 antiferromagnetic (AF) Heisenberg systems are studied on three typical diamond-type hierarchical lattices (systems A, B and C) with fractal dimensions 1.63, 2 and 2.58, respectively, and the phase diagrams, critical phenomena and quantum correlations are calculated by a combination of the equivalent transformation and real-space renormalization group methods. We find that there
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Enhancement of a silicon waveguide single photon source by temporal multiplexing Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-17 Jeremy C Adcock,Davide Bacco,Yunhong Ding
Abstract Efficient generation of single photons is one of the key challenges of building photonic quantum technology, such as quantum computers and long-distance quantum networks. Photon source multiplexing—where successful pair generation is heralded by the detection of one of the photons, and its partner is routed to a single mode output—has long been known to offer a concrete solution, with output
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In-plane resonant excitation of quantum dots in a dual-mode photonic-crystal waveguide with high β-factor Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-17 Xiaoyan Zhou,Peter Lodahl,Leonardo Midolo
Abstract A high-quality quantum dot (QD) single-photon source is a key resource for quantum information processing. Exciting a QD emitter resonantly can greatly suppress decoherence processes and lead to highly indistinguishable single-photon generation. It has, however, remained a challenge to implement strict resonant excitation in a stable and scalable way, without compromising any of the key specs
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Quantum algorithm for online convex optimization Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-17 Jianhao He,Feidiao Yang,Jialin Zhang,Lvzhou Li
Abstract We explore whether quantum advantages can be found for the zeroth-order online convex optimization (OCO) problem, which is also known as bandit convex optimization with multi-point feedback. In this setting, given access to zeroth-order oracles (that is, the loss function is accessed as a black box that returns the function value for any queried input), a player attempts to minimize a sequence
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Corrigendum: Storage capacity and learning capability of quantum neural networks (2021 Quantum Sci. Technol. 6 045002) Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-16 Maciej Lewenstein,Aikaterini Gratsea,Andreu Riera-Campeny,Albert Aloy,Valentin Kasper,Anna Sanpera
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Software mitigation of coherent two-qubit gate errors Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-15 Lingling Lao,Alexander Korotkov,Zhang Jiang,Wojciech Mruczkiewicz,Thomas E O'Brien,Dan E Browne
Abstract Two-qubit gates are important components of quantum computing. However, unwanted interactions between qubits (so-called parasitic gates) can be particularly problematic and degrade the performance of quantum applications. In this work, we present two software methods to mitigate parasitic two-qubit gate errors. The first approach is built upon the Cartan’s KAK decomposition and keeps the original
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Experimentally determining the incompatibility of two qubit measurements Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-14 Andrea Smirne,Simone Cialdi,Daniele Cipriani,Claudio Carmeli,Alessandro Toigo,Bassano Vacchini
Abstract We describe and realize an experimental procedure for assessing the incompatibility of two qubit measurements. The experiment consists in a state discrimination task where either measurement is used according to some partial intermediate information. The success statistics of the task provides an upper bound for the amount of incompatibility of the two measurements, as it is quantified by
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Continuous-variable quantum repeaters based on bosonic error-correction and teleportation: architecture and applications Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-14 Bo-Han Wu,Zheshen Zhang,Quntao Zhuang
Abstract Quantum repeater is an essential ingredient for quantum networks that link distant quantum modules such as quantum computers and sensors. Motivated by distributed quantum computing and communication, quantum repeaters that relay discrete-variable quantum information have been extensively studied; while continuous-variable (CV) quantum information underpins a variety of quantum sensing and
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Simulating quantum circuits with ZX-calculus reduced stabiliser decompositions Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-11 Aleks Kissinger,John van de Wetering
Abstract We introduce an enhanced technique for strong classical simulation of quantum circuits which combines the `sum-of-stabilisers' method with an automated simplification strategy based on the ZX-calculus. Recently it was shown that quantum circuits can be classically simulated by expressing the non-stabiliser gates in a circuit as magic state injections and decomposing them in chunks of 2-6 states
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Quantum battery based on quantum discord at room temperature Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-09 Clebson Cruz,Maron F Anka,Mario S Reis,Romain Bachelard,Alan C Santos
Abstract The study of advanced quantum devices for energy storage has attracted the attention of the scientific community in the past few years. Although several theoretical progresses have been achieved recently, experimental proposals of platforms operating as quantum batteries under ambient conditions are still lacking. In this context, this work presents a feasible realization of a quantum battery
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Single site optical spectroscopy of coupled Er3+ ion pairs in silicon Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-09 Guangchong Hu,Rose L Ahlefeldt,Gabriele G de Boo,Alexey Lyasota,Brett C Johnson,Jeffrey C McCallum,Matthew J Sellars,Chunming Yin,Sven Rogge
Abstract Individual optical emitters coupled via coherent interactions are attractive qubits for quantum communications applications. Here, we present the first study of single pairs of interacting rare earth ions and determine the interactions between ions in the pair with high resolution. We identify two examples of Er3+ pair sites in Er implanted Si and characterise the interactions using optical
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Corrigendum: Qubit models of weak continuous measurements: Markovian conditional and open-system dynamics (2018 Quantum Sci. Technol. 3 024005) Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-08 Jonathan A Gross,Carlton M Caves,Gerard J Milburn,Joshua Combes
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Quantum Markov chain Monte Carlo with digital dissipative dynamics on quantum computers Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-08 Mekena Metcalf,Emma Stone,Katherine Klymko,Alexander F Kemper,Mohan Sarovar,Wibe A de Jong
Abstract Modeling the dynamics of a quantum system connected to the environment is critical for advancing our understanding of complex quantum processes, as most quantum processes in nature are affected by an environment. Modeling a macroscopic environment on a quantum simulator may be achieved by coupling independent ancilla qubits that facilitate energy exchange in an appropriate manner with the
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Experimental investigation of Bayesian bounds in multiparameter estimation Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-07 Simone Evaldo D’Aurelio,Mauro Valeri,Emanuele Polino,Valeria Cimini,Ilaria Gianani,Marco Barbieri,Giacomo Corrielli,Andrea Crespi,Roberto Osellame,Fabio Sciarrino,Nicolò Spagnolo
Abstract Quantum parameter estimation offers solid conceptual grounds for the design of sensors enjoying quantum advantage. This is realised not only by means of hardware supporting and exploiting quantum properties, but data analysis has its impact and relevance, too. In this respect, Bayesian methods have emerged as an effective and elegant solution, with the perk of incorporating naturally the availability
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Decoherence-protected quantum register of nuclear spins in diamond Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-02 Francisco J González,Raúl Coto
Abstract Solid-state quantum registers are exceptional for storing quantum information at room temperature with long coherence time. Nevertheless, practical applications toward quantum supremacy require even longer coherence time to allow for more complex algorithms. In this work we propose a quantum register that lies in a decoherence-protected subspace to be implemented with nuclear spins nearby
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Phase polynomials synthesis algorithms for NISQ architectures and beyond Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-02 Vivien Vandaele,Simon Martiel,Timothée Goubault de Brugière
Abstract We present a framework for the synthesis of phase polynomials that addresses both cases of full connectivity and partial connectivity for NISQ architectures. In most cases, our algorithms generate circuits with lower CNOT count and CNOT depth than the state of the art or have a significantly smaller running time for similar performances. We also provide methods that can be applied to our algorithms
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QFold: quantum walks and deep learning to solve protein folding Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-01 P A M Casares,Roberto Campos,M A Martin-Delgado
Abstract We develop quantum computational tools to predict the 3D structure of proteins, one of the most important problems in current biochemical research. We explain how to combine recent deep learning advances with the well known technique of quantum walks applied to a Metropolis algorithm. The result, QFold, is a fully scalable hybrid quantum algorithm that, in contrast to previous quantum approaches
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Near-deterministic weak-value metrology via collective non-linearity Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-01 Muthumanimaran Vetrivelan,Sai Vinjanampathy
Abstract Weak-value amplification employs postselection to enhance the measurement of small parameters of interest. The amplification comes at the expense of reduced success probability, hindering the utility of this technique as a tool for practical metrology. Following other quantum technologies that display a quantum advantage, we formalize a quantum advantage in the success probability and present
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Machine optimized quantum metrology of concurrent entanglement generation and sensing Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-01 Hongtao Huo,Min Zhuang,Jiahao Huang,Chaohong Lee
Abstract Entanglement is one of the key ingredients for enhancing the measurement precision of quantum sensors. Generally, there is a trade-off between state preparation and sensing within a limited coherence time. To fully exploit temporal resources, concurrent entanglement generation and sensing with designed sequence of rotations are proposed. Based on twist-and-turn dynamics, modulated rotations
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Sample complexity of learning parametric quantum circuits Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-01 Haoyuan Cai,Qi Ye,Dong-Ling Deng
Abstract Quantum computers hold unprecedented potentials for machine learning applications. Here, we prove that physical quantum circuits are probably approximately correct learnable on a quantum computer via empirical risk minimization: to learn a parametric quantum circuit with at most n c gates and each gate acting on a constant number of qubits, the sample complexity is bounded by O ~ ( n c + 1
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Quantum solvability of noisy linear problems by divide-and-conquer strategy Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-03-01 Wooyeong Song,Youngrong Lim,Kabgyun Jeong,Yun-Seong Ji,Jinhyoung Lee,Jaewan Kim,M S Kim,Jeongho Bang
Abstract Noisy linear problems have been studied in various science and engineering disciplines. A class of ‘hard’ noisy linear problems can be formulated as follows: Given a matrix A ^ and a vector b constructed using a finite set of samples, a hidden vector or structure involved in b is obtained by solving a noise-corrupted linear equation A ^ x ≈ b + η , where η is a noise vector that cannot be
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Estimating Gibbs partition function with quantum Clifford sampling Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-02-14 Yusen Wu,Jingbo B Wang
Abstract The partition function is an essential quantity in statistical mechanics, and its accurate computation is a key component of any statistical analysis of quantum systems and phenomena. However, for interacting many-body quantum systems, its calculation generally involves summing over an exponential number of terms and can thus quickly grow to be intractable. Accurately and efficiently estimating
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3-regular three-XORSAT planted solutions benchmark of classical and quantum heuristic optimizers Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-02-14 Matthew Kowalsky,Tameem Albash,Itay Hen,Daniel A Lidar
Abstract With current semiconductor technology reaching its physical limits, special-purpose hardware has emerged as an option to tackle specific computing-intensive challenges. Optimization in the form of solving quadratic unconstrained binary optimization problems, or equivalently Ising spin glasses, has been the focus of several new dedicated hardware platforms. These platforms come in many different
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Weakly measured while loops: peeking at quantum states Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-02-11 Pablo Andrés-Martínez,Chris Heunen
Abstract A while loop tests a termination condition on every iteration. On a quantum computer, such measurements perturb the evolution of the algorithm. We define a while loop primitive using weak measurements, offering a trade-off between the perturbation caused and the amount of information gained per iteration. This trade-off is adjusted with a parameter set by the programmer. We provide sufficient
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An environmental monitoring network for quantum gas experiments and devices Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-02-02 T J Barrett, W Evans, A Gadge, S Bhumbra, S Sleegers, R Shah, J Fekete, F Oručević, P Krger
Quantum technology is approaching a level of maturity, recently demonstrated in space-borne experiments and in-field measurements, which would allow for adoption by non-specialist users. Parallel advancements made in microprocessor-based electronics and database software can be combined to create robust, versatile and modular experimental monitoring systems. Here, we describe a monitoring network used
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Transfer-tensor description of memory effects in open-system dynamics and multi-time statistics Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-01-27 Stefano Gherardini, Andrea Smirne, Susana F Huelga, Filippo Caruso
The non-Markovianity of an arbitrary open quantum system is analyzed in reference to the multi-time statistics given by its monitoring at discrete times. On the one hand, we exploit the hierarchy of inhomogeneous transfer tensors (TTs), which provides us with relevant information about the role of correlations between the system and the environment in the dynamics. The connection between the TT hierarchy
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Studies of the weak interaction in atomic systems: towards measurements of atomic parity non-conservation in francium Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-01-21 G Gwinner,L A Orozco
Abstract Tests of the standard model of particle physics should be carried out over the widest possible range of energies. Here we present our plans and progress for an atomic parity non-conservation experiment using the heaviest alkali, francium (Z = 87), which has no stable isotope. Low-energy tests of this kind have sensitivity complementary to higher energy searches, e.g. at the large hadron collider
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Sequential phonon measurements of atomic motion Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-01-14 Atirach Ritboon, Lukš Slodička, Radim Filip
The motion of trapped atoms plays an essential role in quantum mechanical sensing, simulations and computing. Small disturbances of atomic vibrations are still challenging to be sensitively detected. It requires a reliable coupling between individual phonons and internal electronic levels that light can readout. As available information in a few electronic levels about the phonons is limited, the coupling
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Robustly decorrelating errors with mixed quantum gates Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-01-13 Anthony M Polloreno, Kevin C Young
Coherent errors in quantum operations are ubiquitous. Whether arising from spurious environmental couplings or errors in control fields, such errors can accumulate rapidly and degrade the performance of a quantum circuit significantly more than an average gate fidelity may indicate. As Hastings (2017 Quantum Inf. Comput. 17 488) and Campbell (2017 Phys. Rev. A 95 042306) have recently shown, by replacing
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Quantum algorithm for MUSIC-based DOA estimation in hybrid MIMO systems Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-01-13 Fan-Xu Meng, Ze-Tong Li, Yu Xu-Tao, Zai-Chen Zhang
The multiple signal classification (MUSIC) algorithm is a well-established method to evaluate the direction of arrival (DOA) of signals. However, the construction and eigen-decomposition of the sample covariance matrix (SCM) are computationally costly for MUSIC in hybrid multiple input multiple output (MIMO) systems, which limits the application and advancement of the algorithm. In this paper, we present
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Dynamically corrected gates from geometric space curves Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-01-13 Edwin Barnes, Fernando A Calderon-Vargas, Wenzheng Dong, Bikun Li, Junkai Zeng, Fei Zhuang
Quantum information technologies demand highly accurate control over quantum systems. Achieving this requires control techniques that perform well despite the presence of decohering noise and other adverse effects. Here, we review a general technique for designing control fields that dynamically correct errors while performing operations using a close relationship between quantum evolution and geometric
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Phase-modulated single-photon nonreciprocal transport and directional router in a waveguide–cavity–emitter system beyond the chiral coupling Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-01-13 Xin Wang, Wen-Xing Yang, Ai-Xi Chen, Ling Li, Tao Shui, Xiyun Li, Zhen Wu
We propose a potentially practical scheme for the controllable single-photon transport via waveguides which are coupled to a microcavity–emitter system. The microcavity–emitter system consists of a V-type three-level emitter and two or one single-mode microcavity. A driving field is used to drive a hyperfine transition between two upper excited states of the V-type three-level emitter. Beyond chiral
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Experimental error mitigation using linear rescaling for variational quantum eigensolving with up to 20 qubits Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-01-13 Eliott Rosenberg, Paul Ginsparg, Peter L McMahon
Quantum computers have the potential to help solve a range of physics and chemistry problems, but noise in quantum hardware currently limits our ability to obtain accurate results from the execution of quantum-simulation algorithms. Various methods have been proposed to mitigate the impact of noise on variational algorithms, including several that model the noise as damping expectation values of observables
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A method for controlling the magnetic field near a superconducting boundary in the ARIADNE axion experiment Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-01-13 H Fosbinder-Elkins, Y Kim, J Dargert, M Harkness, A A Geraci, E Levenson-Falk, S Mumford, A Fang, A Kapitulnik, A Matlashov, D Kim, Y Shin, Y K Semertzidis, Y-H Lee, N Aggarwal, C Lohmeyer, A Reid, J Shortino, I Lee, J C Long, C-Y Liu, W Snow
The QCD axion is a particle postulated to exist since the 1970s to explain the strong-CP problem in particle physics. It could also account for all of the observed dark matter in the Universe. The axion resonant interaction detection experiment (ARIADNE) intends to detect the QCD axion by sensing the fictitious ‘magnetic field’ created by its coupling to spin. Short-range axion-mediated interactions
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Approximate decoherence free subspaces for distributed sensing Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-01-10 Arne Hamann,Pavel Sekatski,Wolfgang Dür
Abstract We consider the sensing of scalar valued fields with specific spatial dependence using a network of sensors, e.g. multiple atoms located at different positions within a trap. We show how to harness the spatial correlations to sense only a specific signal, and be insensitive to others at different positions or with unequal spatial dependence by constructing a decoherence-free subspace for noise
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Filtering variational quantum algorithms for combinatorial optimization Quantum Sci. Technol. (IF 6.568) Pub Date : 2022-01-01 David Amaro,Carlo Modica,Matthias Rosenkranz,Mattia Fiorentini,Marcello Benedetti,Michael Lubasch
Abstract Current gate-based quantum computers have the potential to provide a computational advantage if algorithms use quantum hardware efficiently. To make combinatorial optimization more efficient, we introduce the filtering variational quantum eigensolver which utilizes filtering operators to achieve faster and more reliable convergence to the optimal solution. Additionally we explore the use of
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Variational quantum algorithms for trace distance and fidelity estimation Quantum Sci. Technol. (IF 6.568) Pub Date : 2021-12-23 Ranyiliu Chen, Zhixin Song, Xuanqiang Zhao, Xin Wang
Estimating the difference between quantum data is crucial in quantum computing. However, as typical characterizations of quantum data similarity, the trace distance and quantum fidelity are believed to be exponentially-hard to evaluate in general. In this work, we introduce hybrid quantum–classical algorithms for these two distance measures on near-term quantum devices where no assumption of input
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Witnessing objectivity on a quantum computer Quantum Sci. Technol. (IF 6.568) Pub Date : 2021-12-22 Dario A Chisholm, Guillermo Garca-Prez, Matteo A C Rossi, Sabrina Maniscalco, G Massimo Palma
Understanding the emergence of objectivity from the quantum realm has been a long standing issue strongly related to the quantum to classical crossover. Quantum Darwinism (QD) provides an answer, interpreting objectivity as consensus between independent observers. Quantum computers provide an interesting platform for such experimental investigation of QD, fulfiling their initial intended purpose as
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Clustering and enhanced classification using a hybrid quantum autoencoder Quantum Sci. Technol. (IF 6.568) Pub Date : 2021-12-22 Maiyuren Srikumar, Charles D Hill, Lloyd C L Hollenberg
Quantum machine learning (QML) is a rapidly growing area of research at the intersection of classical machine learning and quantum information theory. One area of considerable interest is the use of QML to learn information contained within quantum states themselves. In this work, we propose a novel approach in which the extraction of information from quantum states is undertaken in a classical re
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Qibo: a framework for quantum simulation with hardware acceleration Quantum Sci. Technol. (IF 6.568) Pub Date : 2021-12-18 Stavros Efthymiou, Sergi Ramos-Calderer, Carlos Bravo-Prieto, Adrin Prez-Salinas, Diego Garca-Martn, Artur Garcia-Saez, Jos Ignacio Latorre, Stefano Carrazza
We present Qibo, a new open-source software for fast evaluation of quantum circuits and adiabatic evolution which takes full advantage of hardware accelerators. The growing interest in quantum computing and the recent developments of quantum hardware devices motivates the development of new advanced computational tools focused on performance and usage simplicity. In this work we introduce a new quantum
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Enhanced discrimination of high-dimensional quantum states by concatenated optimal measurement strategies Quantum Sci. Technol. (IF 6.568) Pub Date : 2021-12-18 M A Sols-Prosser, O Jimnez, A Delgado, L Neves
The impossibility of deterministic and error-free discrimination among nonorthogonal quantum states lies at the core of quantum theory and constitutes a primitive for secure quantum communication. Demanding determinism leads to errors, while demanding certainty leads to some inconclusiveness. One of the most fundamental strategies developed for this task is the optimal unambiguous measurement. It encompasses
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Experimental demonstration of efficient high-dimensional quantum gates with orbital angular momentum Quantum Sci. Technol. (IF 6.568) Pub Date : 2021-12-18 Yunlong Wang, Shihao Ru, Feiran Wang, Pei Zhang, Fuli Li
Quantum gates are essential for the realization of quantum computer and have been implemented in various types of two-level systems. However, high-dimensional quantum gates are rarely investigated both theoretically and experimentally even that high-dimensional quantum systems exhibit remarkable advantages over two-level systems for some quantum information and quantum computing tasks. Here we experimentally
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The quantum solitons atomtronic interference device Quantum Sci. Technol. (IF 6.568) Pub Date : 2021-12-13 Juan Polo, Piero Naldesi, Anna Minguzzi, Luigi Amico
We study a quantum many-body system of attracting bosons confined in a ring-shaped potential and interrupted by a weak link. With such architecture, the system defines atomtronic quantum interference devices harnessing quantum solitonic currents. We demonstrate that the system is characterized by the specific interplay between the interaction and the strength of the weak link. In particular, we find
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Improving readout in quantum simulations with repetition codes Quantum Sci. Technol. (IF 6.568) Pub Date : 2021-12-11 Jakob M Gnther, Francesco Tacchino, James R Wootton, Ivano Tavernelli, Panagiotis Kl Barkoutsos
Near term quantum computers suffer from the presence of different noise sources. In order to mitigate for this effect and acquire results with significantly better accuracy, there is the urge of designing efficient error correction or error mitigation schemes. The cost of such techniques is usually high in terms of resource requirements, either in hardware or at the algorithmic level. In this work
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Broadband diffraction of correlated photons from crystal superlattices Quantum Sci. Technol. (IF 6.568) Pub Date : 2021-11-26 Zi S D Toa, Anna V Paterova, Leonid A Krivitsky
Sources of broadband quantum correlated photons present a valuable resource for quantum metrology, sensing, and communication. Here, we report the generation of spectrally broadband correlated photons from frequency nondegenerate spontaneous parametric down-conversion in a custom-designed lithium niobate superlattice. The superlattice induces a nonlinear interference between the pump, signal and idler
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Parameter optimization in satellite-based measurement-device-independent quantum key distribution Quantum Sci. Technol. (IF 6.568) Pub Date : 2021-11-26 Qin Dong, Guoqi Huang, Wei Cui, Rongzhen Jiao
The satellite-based measurement-device-independent quantum key distribution can promote the realization of quantum communication networks. Under the condition of the limited data set, it is necessary to optimize all parameters. For communication networks, real-time prediction and optimization are also indispensable. With the development of machine learning, cross-combination with machine learning has
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Constructing driver Hamiltonians for optimization problems with linear constraints Quantum Sci. Technol. (IF 6.568) Pub Date : 2021-11-26 Hannes Leipold, Federico M Spedalieri
Recent advances in the field of adiabatic quantum computing and the closely related field of quantum annealing have centered around using more advanced and novel Hamiltonian representations to solve optimization problems. One of these advances has centered around the development of driver Hamiltonians that commute with the constraints of an optimization problem—allowing for another avenue to satisfying