Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Kernel Matrix Completion for Offline Quantum-Enhanced Machine Learning
Annie Naveh, Imogen Fitzgerald, A. Phan +2 more·Dec 15, 2021
Enhancing classical machine learning (ML) algorithms through quantum kernels is a rapidly growing research topic in quantum machine learning (QML). A key challenge in using kernels -- both classical and quantum -- is that ML workflows involve acquiri...
Two-level quantum walkers on directed graphs. I. Universal quantum computing
Ryo Asaka, K. Sakai, Ryoko Yahagi·Dec 15, 2021
In the present paper, the first in a series of two, we propose a model of universal quantum computation using a fermionic/bosonic multi-particle continuous-time quantum walk with two internal states (e.g., the spin-up and down states of an electron)....
Spectrum of digitized QCD: Glueballs in a <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>S</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mn>1080</mml:mn><mml:mo stretchy="false">)</mml:mo></mml:math> gauge theory
A. Alexandru, P. Bedaque, R. Brett +1 more·Dec 15, 2021
Quantum simulations of QCD require digitization of the infinite-dimensional gluon field. Schemes for doing this with the minimum amount of qubits are desirable. We present a practical digitization for $SU(3)$ gauge theories via its discrete subgroup ...
Dynamical approach to improving Majorana qubits and distinguishing them from trivial bound states
Brett Min, Bastien Fajardo, T. Pereg-Barnea +1 more·Dec 15, 2021
We study a series of dynamical protocols which involve periodically driving a quantum dot coupled to a putative nanowire hosting Majorana zero modes (MZMs) to i) reduce the hybridization between MZMs, ii) improve the coherence of the Majorana qubit w...
Schrödinger-Heisenberg Variational Quantum Algorithms.
Zhong-Xia Shang, Ming-Cheng Chen, Xiao Yuan +2 more·Dec 15, 2021
Recent breakthroughs have opened the possibility of intermediate-scale quantum computing with tens to hundreds of qubits, and shown the potential for solving classical challenging problems, such as in chemistry and condensed matter physics. However, ...
Quantum expectation-value estimation by computational basis sampling
M. Kohda, R. Imai, Keita Kanno +3 more·Dec 14, 2021
Measuring expectation values of observables is an essential ingredient in variational quantum algorithms. A practical obstacle is the necessity of a large number of measurements for statistical convergence to meet requirements of precision, such as c...
Simultaneous Execution of Quantum Circuits on Current and Near-Future NISQ Systems
Yasuhiro Ohkura, Takahiko Satoh, Rodney Van Meter·Dec 14, 2021
In the noisy intermediate-scale quantum (NISQ) era, the idea of quantum multiprogramming, running multiple quantum circuits (QCs) simultaneously on the same hardware, helps to improve the throughput of quantum computation. However, the crosstalk, unw...
Quantum annealing for industry applications: introduction and review
S. Yarkoni, E. Raponi, Thomas Bäck +1 more·Dec 14, 2021
Quantum annealing (QA) is a heuristic quantum optimization algorithm that can be used to solve combinatorial optimization problems. In recent years, advances in quantum technologies have enabled the development of small- and intermediate-scale quantu...
Quantum computing for lattice supersymmetry
C. Culver, D. Schaich·Dec 14, 2021
Quantum computing promises the possibility of studying the real-time dynamics of nonperturbative quantum field theories while avoiding the sign problem that obstructs conventional lattice approaches. Current and near-future quantum devices are severe...
A Quantum Internet Architecture
R. V. Meter, Ryosuke Satoh, Naphan Benchasattabuse +5 more·Dec 14, 2021
Entangled quantum communication is advancing rapidly, with laboratory and metropolitan testbeds under development, but to date there is no unifying Quantum Internet architecture. We propose a Quantum Internet architecture centered around the Quantum ...
Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ans{ä}tze
Han Zheng, Zimu Li, Junyu Liu +2 more·Dec 14, 2021
We develop a theoretical framework for $S_n$-equivariant convolutional quantum circuits with SU$(d)$-symmetry, building on and significantly generalizing Jordan's Permutational Quantum Computing (PQC) formalism based on Schur-Weyl duality connecting ...
Hybrid Quantum Benders’ Decomposition For Mixed-integer Linear Programming
Zhongqi Zhao, Lei Fan, Zhu Han·Dec 14, 2021
The Benders’ decomposition algorithm is a technique in mathematical programming for complex mixed-integer linear programming (MILP) problems with a particular block structure. The strategy of Benders’ decomposition can be described as a strategy of d...
Analog quantum approximate optimization algorithm
N. Barraza, G. Alvarado Barrios, Jie Peng +3 more·Dec 14, 2021
We present an analog version of the quantum approximate optimization algorithm suitable for current quantum annealers. The central idea of this algorithm is to optimize the schedule function, which defines the adiabatic evolution. It is achieved by c...
Information-Theoretic Limits of Quantum Learning via Data Compression
Armando Angrisani, Brian Coyle, Elham Kashefi·Dec 13, 2021
Understanding the power of quantum data in machine learning is central to many proposed applications of quantum technologies. While access to quantum data can offer exponential advantages for carefully designed learning tasks and often under strong a...
Dynamical photon–photon interaction mediated by a quantum emitter
H. Le Jeannic, Alexey Tiranov, J. Carolan +11 more·Dec 13, 2021
Single photons role in the development of quantum science and technology. They can carry quantum information over extended distances to act as the backbone of a future quantum internet1 and can be manipulated in advanced photonic circuits, enabling s...
3+1 Dimension Schwinger Pair Production with Quantum Computers
Bin Xu, W. Xue·Dec 13, 2021
Real-time quantum simulation of quantum field theory in (3+1)D requires large quantum computing resources. With a few-qubit quantum computer, we develop a novel algorithm and experimentally study the Schwinger effect, the electron-positron pair produ...
Multistate transition dynamics by strong time-dependent perturbation in NISQ era
Yulun Wang, P. Krstic·Dec 13, 2021
We develop a quantum computing scheme utilizing McLachlan variational principle in a hybrid quantum–classical algorithm to accurately calculate the transition dynamics of a closed quantum system with many excited states subject to a strong time-depen...
Process Tomography on a 7-Qubit Quantum Processor via Tensor Network Contraction Path Finding
Aidan Dang, G. White, L. Hollenberg +1 more·Dec 13, 2021
Quantum process tomography (QPT), where a quantum channel is reconstructed through the analysis of repeated quantum measurements, is an important tool for validating the operation of a quantum processor. We detail the combined use of an existing QPT ...
An introduction to quantum computing for statisticians and data scientists
A. Lopatnikova, Minh-Ngoc Tran, S. Sisson·Dec 13, 2021
Quantum computers promise to surpass the most powerful classical supercomputers when it comes to solving many critically important practical problems, such as pharmaceutical and fertilizer design, supply chain and traffic optimization, or optimizatio...
Investigation of Quantum Support Vector Machine for Classification in NISQ era
Anekait Kariya, B. K. Behera·Dec 13, 2021
Quantum machine learning is at the crossroads of two of the most exciting current areas of research; quantum computing and classical machine learning. It explores the interaction between quantum computing and machine learning, investigating how resul...