Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Observation of separated dynamics of charge and spin in the Fermi-Hubbard model
F. Arute, K. Arya, R. Babbush +96 more·Oct 15, 2020
Strongly correlated quantum systems give rise to many exotic physical phenomena, including high-temperature superconductivity. Simulating these systems on quantum computers may avoid the prohibitively high computational cost incurred in classical app...
Quantum autoencoders with enhanced data encoding
Carlos Bravo-Prieto·Oct 13, 2020
We present the enhanced feature quantum autoencoder, or EF-QAE, a variational quantum algorithm capable of compressing quantum states of different models with higher fidelity. The key idea of the algorithm is to define a parameterized quantum circuit...
Quantum simulation of oscillating neutrinos.
Abhishek Kumar Jha, A. Chatla, B. Bambah·Oct 13, 2020
Two and three flavor oscillating neutrinos are shown to exhibit the properties bipartite and tripartite quantum entanglement. The two and three flavor neutrinos are mapped to qubit states used in quantum information theory. Such quantum bits of the n...
Tensor lattice field theory for renormalization and quantum computing
Y. Meurice, Ryo Sakai, J. Unmuth-Yockey·Oct 13, 2020
We discuss the successes and limitations of statistical sampling for a sequence of models studied in the context of lattice QCD and emphasize the need for new methods to deal with finite-density and real-time evolution. We show that these lattice mod...
Dynamical Self-energy Mapping (DSEM) for quantum computing.
Diksha Dhawan, Mekena Metcalf, D. Zgid·Oct 12, 2020
For noisy intermediate-scale quantum (NISQ) devices only a moderate number of qubits with a limited coherence is available thus enabling only shallow circuits and a few time evolution steps in the currently performed quantum computations. Here, we pr...
SchWARMA: A model-based approach for time-correlated noise in quantum circuits
Kevin M. Schultz, G. Quiroz, P. Titum +1 more·Oct 9, 2020
Temporal noise correlations are ubiquitous in quantum systems, yet often neglected in the analysis of quantum circuits due to the complexity required to accurately characterize and model them. Autoregressive moving average (ARMA) models are a well-kn...
Inverse iteration quantum eigensolvers assisted with a continuous variable
M. He, Zhang Danbo, Zi-Dan Wang·Oct 7, 2020
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 itera...
Optimal State Transfer and Entanglement Generation in Power-Law Interacting Systems
Minh C. Tran, Andrew Y. Guo, A. Deshpande +2 more·Oct 6, 2020
We present an optimal protocol for encoding an unknown qubit state into a multiqubit Greenberger-Horne-Zeilinger-like state and, consequently, transferring quantum information in large systems exhibiting power-law (1/rα) interactions. For all power-l...
Qubit-efficient entanglement spectroscopy using qubit resets
Justin Yirka, Yiğit Subaşı·Oct 6, 2020
One strategy to fit larger problems on NISQ devices is to exploit a tradeoff between circuit width and circuit depth. Unfortunately, this tradeoff still limits the size of tractable problems since the increased depth is often not realizable before no...
Error Mitigation via Verified Phase Estimation
T. O’Brien, S. Polla, N. Rubin +5 more·Oct 6, 2020
The accumulation of noise in quantum computers is the dominant issue stymieing the push of quantum algorithms beyond their classical counterparts. We do not expect to be able to afford the overhead required for quantum error correction in the next de...
Measurement-induced phase transitions in quantum automaton circuits
J. Iaconis, A. Lucas, Xiao Chen·Oct 5, 2020
We study the entanglement dynamics in a generic quantum automaton circuit subjected to projective measurements. We design an efficient algorithm which not only allows us to perform large scale simulation for the R\'enyi entropy but also provides a ph...
Multi-level evolution strategies for high-resolution black-box control
O. M. Shir, Xi Xing, H. Rabitz·Oct 4, 2020
This paper introduces a multi-level (m-lev) mechanism into Evolution Strategies (ESs) in order to address a class of global optimization problems that could benefit from fine discretization of their decision variables. Such problems arise in engineer...
Cache Blocking Technique to Large Scale Quantum Computing Simulation on Supercomputers
J. Doi, H. Horii·Oct 1, 2020
Classical computers require large memory resources and computational power to simulate quantum circuits with a large number of qubits. Even supercomputers that can store huge amounts of data face a scalability issue in regard to parallel quantum comp...
Application of a Quantum Search Algorithm to High- Energy Physics Data at the Large Hadron Collider
A. Armenàkas, O. Baker·Oct 1, 2020
We demonstrate a novel method for applying a scientific quantum algorithm - the Grover Algorithm (GA) - to search for rare events in proton-proton collisions at 13 TeV collision energy using CERN's Large Hadron Collider. The search is of an unsorted ...
Silicon Spin Qubit Control and Readout Circuits in 22nm FDSOI CMOS
R. Severino, Michele Spasaro, D. Zito·Oct 1, 2020
This paper investigates the implementation of microwave and mm-wave integrated circuits for control and readout of electron/hole spin qubits, as elementary building blocks for future emerging quantum computing technologies. In particular, it summariz...
Meta-Variational Quantum Eigensolver: Learning Energy Profiles of Parameterized Hamiltonians for Quantum Simulation
Alba Cervera-Lierta, Jakob S. Kottmann, Alán Aspuru-Guzik·Sep 28, 2020
We present the meta-VQE, an algorithm capable to learn the ground state energy profile of a parametrized Hamiltonian. By training the meta-VQE with a few data points, it delivers an initial circuit parametrization that can be used to compute the grou...
How will quantum computers provide an industrially relevant computational advantage in quantum chemistry
V. Elfving, B. W. Broer, M. Webber +4 more·Sep 25, 2020
Numerous reports claim that quantum advantage, which should emerge as a direct consequence of the advent of quantum computers, will herald a new era of chemical research because it will enable scientists to perform the kinds of quantum chemical simul...
Search for efficient formulations for Hamiltonian simulation of non-Abelian lattice gauge theories
Z. Davoudi, Indrakshi Raychowdhury, A. Shaw·Sep 24, 2020
Hamiltonian formulation of lattice gauge theories (LGTs) is the most natural framework for the purpose of quantum simulation, an area of research that is growing with advances in quantum-computing algorithms and hardware. It, therefore, remains an im...
Single-Shot Error Correction of Three-Dimensional Homological Product Codes
A. O. Quintavalle, M. Vasmer, Joschka Roffe +1 more·Sep 24, 2020
Single-shot error correction corrects data noise using only a single round of noisy measurements on the data qubits, removing the need for intensive measurement repetition. We introduce a general concept of confinement for quantum codes, which roughl...
Integer Programming from Quantum Annealing and Open Quantum Systems
Chia-Cheng Chang, Chih-Chieh Chen, C. Koerber +2 more·Sep 24, 2020
While quantum computing proposes promising solutions to computational problems not accessible with classical approaches, due to current hardware constraints, most quantum algorithms are not yet capable of computing systems of practical relevance, and...