Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Material matters in superconducting qubits
C. Murray·Jun 10, 2021
The progress witnessed within the field of quantum computing has been enabled by the identification and understanding of interactions between the state of the quantum bit (qubit) and the materials within its environment. Beginning with an introductio...
Matrix product state pre-training for quantum machine learning
J. Dborin, F. Barratt, V. Wimalaweera +2 more·Jun 10, 2021
Hybrid quantum–classical algorithms are a promising candidate for developing uses for NISQ devices. In particular, parametrised quantum circuits (PQCs) paired with classical optimizers have been used as a basis for quantum chemistry and quantum optim...
Linear growth of quantum circuit complexity
J. Haferkamp, P. Faist, N. B. T. Kothakonda +2 more·Jun 9, 2021
The complexity of quantum states has become a key quantity of interest across various subfields of physics, from quantum computing to the theory of black holes. The evolution of generic quantum systems can be modelled by considering a collection of q...
Quantum Carry Lookahead Adders for NISQ and Quantum Image Processing
H. Thapliyal, Edgard Muñoz-Coreas, Vladislav Khalus·Jun 9, 2021
Progress in quantum hardware design is progressing toward machines of sufficient size to begin realizing quantum algorithms in disciplines such as encryption and physics. Quantum circuits for addition are crucial to realize many quantum algorithms on...
CircuitQ: an open-source toolbox for superconducting circuits
Philipp Aumann, Tim Menke, W. Oliver +1 more·Jun 9, 2021
We introduce CircuitQ, an open-source toolbox for the analysis of superconducting circuits implemented in Python. It features the automated construction of a symbolic Hamiltonian of the input circuit and a dynamic numerical representation of the Hami...
Variational Quantum-Neural Hybrid Eigensolver.
Shi-Xin Zhang, Z. Wan, Chee-Kong Lee +3 more·Jun 9, 2021
The variational quantum eigensolver (VQE) is one of the most representative quantum algorithms in the noisy intermediate-scale quantum (NISQ) era, and is generally speculated to deliver one of the first quantum advantages for the ground-state simulat...
ArQTiC: A Full-stack Software Package for Simulating Materials on Quantum Computers
Lindsay Bassman Oftelie, Connor Powers, W. D. de Jong·Jun 9, 2021
ArQTiC is an open-source, full-stack software package built for the simulations of materials on quantum computers. It currently can simulate materials that can be modeled by any Hamiltonian derived from a generic, one-dimensional, time-dependent Heis...
Quantum computations for disambiguation and question answering
Adriana D. Correia, M. Moortgat, H. Stoof·Jun 9, 2021
Automatic text processing is now a mature discipline in computer science, and so attempts at advancements using quantum computation have emerged as the new frontier, often under the term of quantum natural language processing. The main challenges con...
A Quantum Advantage for a Natural Streaming Problem
John Kallaugher·Jun 8, 2021
Data streaming, in which a large dataset is received as a “stream” of updates, is an important model in the study of space-bounded computation. Starting with the work of Le Gall [SPAA '06], it has been known that quantum streaming algorithms can use ...
Error Mitigation for Deep Quantum Optimization Circuits by Leveraging Problem Symmetries
Ruslan Shaydulin, A. Galda·Jun 8, 2021
High error rates and limited fidelity of quantum gates in near-term quantum devices are the central obstacles to successful execution of the Quantum Approximate Optimization Algorithm (QAOA). In this paper we introduce an application-specific approac...
Hybrid classical-quantum approach to solve the heat equation using quantum annealers
Giovani G. Pollachini, J. Salazar, Caio B. D. Goes +2 more·Jun 8, 2021
The numerical solution of partial differential equations by discretization techniques is ubiquitous in computational physics. In this work we benchmark this approach in the quantum realm by solving the heat equation for a square plate subject to fixe...
Evaluating low-depth quantum algorithms for time evolution on fermion-boson systems
Nathan Fitzpatrick, H. Apel, D. M. Ramo·Jun 7, 2021
Simulating time evolution of quantum systems is one of the most promising applications of quantum computing and also appears as a subroutine in many applications such as Green's function methods. In the current era of NISQ machines we assess the stat...
Free versus bound entanglement, a NP-hard problem tackled by machine learning
B. Hiesmayr·Jun 7, 2021
Entanglement detection in high dimensional systems is a NP-hard problem since it is lacking an efficient way. Given a bipartite quantum state of interest free entanglement can be detected efficiently by the PPT-criterion (Peres-Horodecki criterion), ...
What the foundations of quantum computer science teach us about chemistry.
J. McClean, N. Rubin, Joonho Lee +5 more·Jun 7, 2021
With the rapid development of quantum technology, one of the leading applications that has been identified is the simulation of chemistry. Interestingly, even before full scale quantum computers are available, quantum computer science has exhibited a...
Variational Hamiltonian simulation for translational invariant systems via classical pre-processing
Refik Mansuroglu, T. Eckstein, Ludwig Nützel +2 more·Jun 7, 2021
The simulation of time evolution of large quantum systems is a classically challenging and in general intractable task, making it a promising application for quantum computation. A Trotter–Suzuki approximation yields an implementation thereof, where ...
Quantum Computers Can Find Quadratic Nonresidues in Deterministic Polynomial Time
Thomas G. Draper·Jun 7, 2021
An integer $a$ is a quadratic nonresidue for a prime $p$ if $x^2 \equiv a \bmod p$ has no solution. Quadratic nonresidues may be found by probabilistic methods in polynomial time. However, without assuming the Generalized Riemann Hypothesis, no deter...
Partonic collinear structure by quantum computing
Tianyin Li, Xingyu Guo, W. K. Lai +5 more·Jun 7, 2021
We present a systematic quantum algorithm, which integrates both the hadronic state preparation and the evaluation of real-time light-front correlators, to study parton distribution functions (PDFs). As a proof of concept, we demonstrate the first di...
Realization of a Universal Quantum Gate Set for Itinerant Microwave Photons
K. Reuer, Jean-Claude Besse, Lucien Wernli +5 more·Jun 7, 2021
Deterministic photon-photon gates enable the controlled generation of entanglement between mobile carriers of quantum information. Such gates have thus far been exclusively realized in the optical domain and by relying on post-selection. Here, we pre...
Noisy intermediate-scale quantum algorithm for semidefinite programming
Kishor Bharti, T. Haug, V. Vedral +1 more·Jun 7, 2021
Semidefinite programs (SDPs) are convex optimization programs with vast applications in control theory, quantum information, combinatorial optimization and operational research. Noisy intermediate-scale quantum (NISQ) algorithms aim to make an efficient...
The Inductive Bias of Quantum Kernels
Jonas M. Kübler, Simon Buchholz, B. Scholkopf·Jun 7, 2021
It has been hypothesized that quantum computers may lend themselves well to applications in machine learning. In the present work, we analyze function classes defined via quantum kernels. Quantum computers offer the possibility to efficiently compute...