Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Fourier-based quantum signal processing
T. L. Silva, Lucas Borges, L. Aolita·Jun 6, 2022
Implementing general functions of operators is a powerful tool in quantum computation. It can be used as the basis for a variety of quantum algorithms including matrix inversion, real and imaginary-time evolution, and matrix powers. Quantum signal pr...
Variational approach to quantum state tomography based on maximal entropy formalism.
Rishabh Gupta, M. Sajjan, R. Levine +1 more·Jun 6, 2022
Quantum state tomography is an integral part of quantum computation and offers the starting point for the validation of various quantum devices. One of the central tasks in the field of state tomography is to reconstruct, with high fidelity, the quan...
Hard superconducting gap in germanium
A. Tosato, V. Levajac, Ji-Yin Wang +9 more·Jun 1, 2022
The co-integration of spin, superconducting, and topological systems is emerging as an exciting pathway for scalable and high-fidelity quantum information technology. High-mobility planar germanium is a front-runner semiconductor for building quantum...
Semiconductor Defect Detection by Hybrid Classical-Quantum Deep Learning
Yuanfu Yang, Min Sun·Jun 1, 2022
With the rapid development of artificial intelligence and autonomous driving technology, the demand for semiconductors is projected to rise substantially. However, the massive expansion of semiconductor manufacturing and the development of new techno...
A Hybrid Quantum-Classical CFD Methodology with Benchmark HHL Solutions
L. Lapworth·Jun 1, 2022
There has been significant progress in the development of quantum algorithms for solving linear systems of equations with a growing body of applications to Computational Fluid Dynamics (CFD) and CFD-like problems. This work extends previous work by de...
Quantum Annealing Sampling with a Bias Field
T. Grass·May 31, 2022
The presence of a bias field, encoding some information about the target state, can enhance the performance of quantum optimization methods. Here we investigate the effect of such a bias field on the outcome of quantum annealing sampling, at the example...
Quantum-assisted Monte Carlo algorithms for fermions
Xiaosi Xu, Ying Li·May 30, 2022
Quantum computing is a promising way to systematically solve the longstanding computational problem, the ground state of a many-body fermion system. Many efforts have been made to realise certain forms of quantum advantage in this problem, for instan...
Towards near-term quantum simulation of materials
Laura Clinton, T. Cubitt, Brian Flynn +6 more·May 30, 2022
Determining the ground and excited state properties of materials is considered one of the most promising applications of quantum computers. On near-term hardware, the limiting constraint on such simulations is the requisite circuit depths and qubit n...
Effect of matrix sparsity and quantum noise on quantum random walk linear solvers
Benwei Wu, Hrushikesh Patil, P. Krstic·May 27, 2022
We study the effects of quantum noise in hybrid quantum-classical solver for sparse systems of linear equations using quantum random walks, applied to stoquastic Hamiltonian matrices. In an ideal noiseless quantum computer, sparse matrices achieve so...
QSpeech: Low-Qubit Quantum Speech Application Toolkit
Zhenhou Hong, Jianzong Wang, Xiaoyang Qu +3 more·May 26, 2022
Quantum devices with low qubits are common in the Noisy Intermediate-Scale Quantum (NISQ) era. However, Quantum Neural Network (QNN) running on low-qubit quantum devices would be difficult since it is based on Variational Quantum Circuit (VQC), which...
Proposal for low-power atom trapping on a GaN-on-sapphire chip
Aiping Liu, Lei Xu, Xin-Biao Xu +6 more·May 24, 2022
The hybrid photon-atom integrated circuits, which include photonic microcavities and trapped single neutral atom in their evanescent field, are of great potential for quantum information processing. In this platform, the atoms provide the single-photo...
Is quantum computing green? An estimate for an energy-efficiency quantum advantage
Daniel Jaschke, S. Montangero·May 24, 2022
The quantum advantage threshold determines when a quantum processing unit (QPU) is more efficient with respect to classical computing hardware in terms of algorithmic complexity. The ‘green’ quantum advantage threshold—based on a comparison of energe...
Exponential challenges in unbiasing quantum Monte Carlo algorithms with quantum computers
G. Mazzola, Giuseppe Carleo·May 18, 2022
Recently, Huggins et. al. [Nature, 603, 416-420 (2022)] devised a general projective Quantum Monte Carlo method suitable for implementation on quantum computers. This hybrid approach, however, relies on a subroutine -the computation of the local ener...
Evolution strategies: application in hybrid quantum-classical neural networks
Lucas Friedrich, J. Maziero·May 17, 2022
With the rapid development of quantum computers, several applications are being proposed for them. Quantum simulations, simulation of chemical reactions, solution of optimization problems and quantum neural networks (QNNs) are some examples. However,...
A hybrid classical-quantum approach to speed-up Q-learning
A. Sannia, A. Giordano, N. L. Gullo +2 more·May 16, 2022
We introduce a classical-quantum hybrid approach to computation, allowing for a quadratic performance improvement in the decision process of a learning agent. Using the paradigm of quantum accelerators, we introduce a routine that runs on a quantum c...
Adaptive construction of shallower quantum circuits with quantum spin projection for fermionic systems
T. Tsuchimochi, Masaki Taii, Taisei Nishimaki +1 more·May 14, 2022
Quantum computing is a promising approach to harnessing strong correlation in molecular systems; however, current devices only allow for hybrid quantum-classical algorithms with a shallow circuit depth, such as the variational quantum eigensolver (VQ...
Analysis of the Vehicle Routing Problem Solved via Hybrid Quantum Algorithms in the Presence of Noisy Channels
Nishikanta Mohanty, B. K. Behera, C. Ferrie·May 13, 2022
The vehicle routing problem (VRP) is an NP-hard optimization problem that has been an interest of research for decades in science and industry. The objective is to plan routes of vehicles to deliver goods to a fixed number of customers with optimal e...
Forward-backward stochastic simulations: Q-based model for measurement and Bell-nonlocality consistent with weak local realistic premises
M D Reid, P D Drummond·May 12, 2022
We show how measurement and nonlocality can be explained consistently with macroscopic realism and no-signaling, and causal relations for macroscopic quantities. Considering measurement of a field amplitude $\hat{x}$, we derive theorems that lead to ...
Folding lattice proteins with quantum annealing
Anders Irbäck, Lucas Knuthson, S. Mohanty +1 more·May 12, 2022
Quantum annealing is a promising approach for obtaining good approximate solutions to difficult optimization problems. Folding a protein sequence into its minimum-energy structure represents such a problem. For testing new algorithms and technologies...
Cutting Quantum Circuits to Run on Quantum and Classical Platforms
Wei Tang, M. Martonosi·May 12, 2022
Quantum computing (QC) offers a new computing paradigm that has the potential to provide significant speedups over classical computing. Each additional qubit doubles the size of the computational state space available to a quantum algorithm. Such expo...