Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Faster quantum mixing of Markov chains in non-regular graph with fewer qubits
Xinyin Li, Yun Shang·May 12, 2022
Sampling from the stationary distribution is one of the fundamental tasks of Markov chain-based algorithms and has important applications in machine learning, combinatorial optimization and network science. For the quantum case, qsampling from Markov...
Scheduling Quantum Teleportation with Noisy Memories
Aparimit Chandra, W. Dai, D. Towsley·May 12, 2022
Quantum teleportation channels can overcome the effects of photonic loss, a major challenge in the implementation of a quantum network over fiber. Teleportation channels are created by distributing an entangled state between two nodes, which is a pro...
Stabilizer Inactivation for Message-Passing Decoding of Quantum LDPC Codes
Julien du Crest, M. Mhalla, V. Savin·May 12, 2022
We propose a post-processing method for message-passing (MP) decoding of CSS quantum LDPC codes, called stabilizer-inactivation (SI). It relies on inactivating a set of qubits, supporting a check in the dual code, and then running the MP decoding aga...
Retrodictive Quantum Computing
J. Carette, G. Ortiz, A. Sabry·May 12, 2022
Quantum models of computation are widely believed to be more powerful than classical ones. Efforts center on proving that, for a given problem, quantum algorithms are more resource efficient than any classical one. All this, however, assumes a standa...
Equivariant quantum circuits for learning on weighted graphs
Andrea Skolik, Michele Cattelan, S. Yarkoni +2 more·May 12, 2022
Variational quantum algorithms are the leading candidate for advantage on near-term quantum hardware. When training a parametrized quantum circuit in this setting to solve a specific problem, the choice of ansatz is one of the most important factors ...
Phenomenological theory of variational quantum ground-state preparation
Nikita Astrakhantsev, G. Mazzola, I. Tavernelli +1 more·May 12, 2022
The variational approach is a cornerstone of computational physics, considering both conventional and quantum computing computational platforms. The variational quantum eigensolver (VQE) algorithm aims to prepare the ground state of a Hamiltonian exp...
Alternatives to a nonhomogeneous partial differential equation quantum algorithm
Alexandre C. Ricardo, G. P. L. M. Fernandes, E. I. Duzzioni +2 more·May 11, 2022
Recently J. M. Arrazola et al. [Phys. Rev. A 100 , 032306 (2019)] proposed a quantum algorithm for solving nonhomogeneous linear partial differential equations of the form Aψ ( r ) = f ( r ) . Its nonhomogeneous solution is obtained by inverting the ...
Quantum variational algorithms are swamped with traps
E. Anschuetz, B. Kiani·May 11, 2022
One of the most important properties of classical neural networks is how surprisingly trainable they are, though their training algorithms typically rely on optimizing complicated, nonconvex loss functions. Previous results have shown that unlike the...
Quantum computing calculations for nuclear structure and nuclear data
Isaac Hobday, P. Stevenson, J. Benstead·May 11, 2022
Calculations of nuclear properties and nuclear models are performed using quantum computing algorithms on simulated and real quantum computers. The models are a realistic calculation of deuteron binding based on effective field theory, and a simplifi...
Implementation and empirical evaluation of a quantum machine learning pipeline for local classification
Enrico Zardini, E. Blanzieri, D. Pastorello·May 11, 2022
In the current era, quantum resources are extremely limited, and this makes difficult the usage of quantum machine learning (QML) models. Concerning the supervised tasks, a viable approach is the introduction of a quantum locality technique, which al...
FastHare: Fast Hamiltonian Reduction for Large-scale Quantum Annealing
Phuc Thai, M. Thai, Tam Vu +1 more·May 10, 2022
Quantum annealing (QA) that encodes optimization problems into Hamiltonians remains the only near-term quantum computing paradigm that provides sufficient many qubits for real-world applications. To fit larger optimization instances on existing quant...
Fundamental limitations on optimization in variational quantum algorithms
Hao-Kai Zhang, Chengkai Zhu, Geng-yang Liu +1 more·May 10, 2022
Exploring quantum applications of near-term quantum devices is a rapidly growing field of quantum information science with both theoretical and practical interests. A leading paradigm to establish such near-term quantum applications is variational qu...
Qubits based on merons in magnetic nanodisks
J. Xia, Xichao Zhang, Xiaoxi Liu +2 more·May 10, 2022
A meron is a classical topological soliton having a half topological charge. It could be materialized in a magnetic disk. However, it will become a quantum mechanical object when its size is of the order of nanometers. Here, we propose to use a nanos...
Practical application-specific advantage through hybrid quantum computing
M. Perelshtein, A. Sagingalieva, Karan Pinto +7 more·May 10, 2022
Quantum computing promises to tackle technological and industrial problems insurmountable for classical computers. However, today's quantum computers still have limited demonstrable functionality, and it is expected that scaling up to millions of qub...
Steered discrete-time quantum walks for engineering of quantum states
G. Kadiri·May 10, 2022
We analyze the strengths and limitations of steered discrete time quantum walks in generating quantum states of bipartite quantum systems comprising of a qubit coupled to a qudit system. We demonstrate that not all quantum states in the composite spa...
Nonequilibrium quantum impurity problems via matrix-product states in the temporal domain
Julian Thoenniss, Alessio Lerose, D. Abanin·May 10, 2022
Describing a quantum impurity coupled to one or more non-interacting fermionic reservoirs is a paradigmatic problem in quantum many-body physics. While historically the focus has been on the equilibrium properties of the impurity-reservoir system, re...
DisCoPy for the quantum computer scientist
Alexis Toumi, G. Felice, Richie Yeung·May 10, 2022
DisCoPy (Distributional Compositional Python) is an open source toolbox for computing with string diagrams and functors. In particular, the diagram data structure allows to encode various kinds of quantum processes, with functors for classical simula...
Software tool-set for automated quantum system identification and device bring up
Anurag Saha Roy, K. Pack, N. Wittler +1 more·May 10, 2022
We present a software tool-set which combines the theoretical, optimal control view of quantum devices with the practical operation and characterization tasks required for quantum computing. In the same framework, we perform model-based simulations t...
Gradient-Free optimization algorithm for single-qubit quantum classifier
Anqi Zhang, Xiaoyun He, Sheng-mei Zhao·May 10, 2022
In the paper, a gradient-free optimization algorithm for single-qubit quantum classifier is proposed to overcome the effects of barren plateau caused by quantum devices. A rotation gate RX({\phi}) is applied on a single-qubit binary quantum classifie...
Supply chain logistics with quantum and classical annealing algorithms
Sean J. Weinberg, F. Sanches, T. Ide +2 more·May 9, 2022
Noisy intermediate-scale quantum (NISQ) hardware is almost universally incompatible with full-scale optimization problems of practical importance which can have many variables and unwieldy objective functions. As a consequence, there is a growing bod...