Papers
Live trends in quantum computing research, updated daily from arXiv.
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Quantum simulation of quantum field theory in the light-front formulation
Michael Kreshchuk, William M. Kirby, G. Goldstein +2 more·Feb 10, 2020
We develop quantum simulation algorithms based on the light-front formulation of relativistic quantum field theories. We analyze a simple theory in $1+1D$ and show how to compute the analogues of parton distribution functions of composite particles i...
Discretizing quantum field theories for quantum simulation
Terry Farrelly, Julie Streich·Feb 7, 2020
To date, all proposed quantum algorithms for simulating quantum field theory (QFT) simulate (continuous-time) Hamiltonian lattice QFT as a stepping stone. Two overlooked issues are how large we can take the timestep in these simulations while getting...
Quantum walks and Dirac cellular automata on a programmable trapped-ion quantum computer
C. H. Alderete, Shivani Singh, N. Nguyen +5 more·Feb 6, 2020
The quantum walk formalism is a widely used and highly successful framework for modeling quantum systems, such as simulations of the Dirac equation, different dynamics in both the low and high energy regime, and for developing a wide range of quantum...
Unitary quantum lattice simulations for Maxwell equations in vacuum and in dielectric media
G. Vahala, L. Vahala, M. Soe +1 more·Feb 1, 2020
Utilizing the similarity between the spinor representation of the Dirac and the Maxwell equations that has been recognized since the early days of relativistic quantum mechanics, a quantum lattice algorithm (QLA) representation of unitary collision-s...
Quantum algorithm for matrix functions by Cauchy's integral formula
S. Takahira, A. Ohashi, T. Sogabe +1 more·Feb 1, 2020
For matrix A, vector b and function f, the computation of vector f(A)b arises in many scientific computing applications. We consider the problem of obtaining quantum state |f> corresponding to vector f(A)b. There is a quantum algorithm to compute sta...
Absence of logarithmic divergence of the entanglement entropies at the phase transitions of a 2D classical hard rod model
Christophe Chatelain, A. Gendiar·Jan 31, 2020
Entanglement entropy is a powerful tool to detect continuous, discontinuous and even topological phase transitions in quantum as well as classical systems. In this work, von Neumann and Renyi entanglement entropies are studied numerically for classic...
A Variational Quantum Algorithm for Preparing Quantum Gibbs States
Anirban Narayan Chowdhury, G. Low, N. Wiebe·Jan 31, 2020
Preparation of Gibbs distributions is an important task for quantum computation. It is a necessary first step in some types of quantum simulations and further is essential for quantum algorithms such as quantum Boltzmann training. Despite this, most ...
Simulating quantum chemistry in the restricted Hartree-Fock space on a qubit-based quantum computing device
V. Elfving, Jos'e A. G'amez, C. Gogolin·Jan 31, 2020
Accurate quantum chemistry simulations remain challenging on classical computers for problems of industrially relevant sizes and there is reason for hope that quantum computing may help push the boundaries of what is technically feasible. While varia...
Hierarchical decoding to reduce hardware requirements for quantum computing
Nicolas Delfosse·Jan 30, 2020
Extensive quantum error correction is necessary in order to scale quantum hardware to the regime of practical applications. As a result, a significant amount of decoding hardware is necessary to process the colossal amount of data required to constan...
Quantum circuits for the realization of equivalent forms of one-dimensional discrete-time quantum walks on near-term quantum hardware
Shivani Singh, C. H. Alderete, R. Balu +3 more·Jan 30, 2020
Quantum walks are a promising framework for developing quantum algorithms and quantum simulations. They represent an important test case for the application of quantum computers. Here we present different forms of discrete-time quantum walks (DTQWs) ...
Quantum Simulation of Field Theories Without State Preparation
Siddhartha Harmalkar, Henry Lamm, S. Lawrence·Jan 30, 2020
We propose an algorithm for computing real-time observables using a quantum processor while avoiding the need to prepare the full quantum state. This reduction in quantum resources is achieved by classically sampling configurations in imaginary-time ...
Intel Quantum Simulator: a cloud-ready high-performance simulator of quantum circuits
G. Guerreschi, J. Hogaboam, F. Baruffa +1 more·Jan 28, 2020
Classical simulation of quantum computers will continue to play an essential role in the progress of quantum information science, both for numerical studies of quantum algorithms and for modeling noise and errors. Here we introduce the latest release...
Demonstrating a Continuous Set of Two-Qubit Gates for Near-Term Quantum Algorithms.
B. Foxen, C. Neill, A. Dunsworth +54 more·Jan 23, 2020
Quantum algorithms offer a dramatic speedup for computational problems in material science and chemistry. However, any near-term realizations of these algorithms will need to be optimized to fit within the finite resources offered by existing noisy h...
Quantum computation of molecular response properties
Xiaoxia Cai, W. Fang, H. Fan +1 more·Jan 10, 2020
Accurately predicting response properties of molecules such as the dynamic polarizability and hyperpolarizability using quantum mechanics has been a long-standing challenge with widespread applications in material and drug design. Classical simulatio...
Variational Quantum Algorithms for the Steady States of Open Quantum Systems
H. Liu 刘, Tai-Ping 太平 Sun 孙, Y. Wu 吴 +1 more·Jan 8, 2020
The solutions of the problems related to open quantum systems have attracted considerable interest. We propose a variational quantum algorithm to find the steady state of open quantum systems. In this algorithm, we employ parameterized quantum circui...
Multiblock ADMM Heuristics for Mixed-Binary Optimization on Classical and Quantum Computers
Claudio Gambella, Andrea Simonetto·Jan 7, 2020
Solving combinatorial optimization problems on current noisy quantum devices is currently being advocated for (and restricted to) binary polynomial optimization with equality constraints via quantum heuristic approaches. This is achieved using, for e...
Direct estimation of quantum coherence by collective measurements
Yuan Yuan, Z. Hou, Jun-Feng Tang +4 more·Jan 6, 2020
The recently established resource theory of quantum coherence allows for a quantitative understanding of the superposition principle, with applications reaching from quantum computing to quantum biology. While different quantifiers of coherence have ...
Quantum computation of dominant products in lithium-sulfur batteries.
J. Rice, Tanvi P. Gujarati, M. Motta +4 more·Jan 4, 2020
Quantum chemistry simulations of some industrially relevant molecules are reported, employing variational quantum algorithms for near-term quantum devices. The energies and dipole moments are calculated along the dissociation curves for lithium hydri...
Noisy Simulation of Quantum Beats in Radical Pairs on a Quantum Computer
Brian Rost, B. Jones, M. Vyushkova +4 more·Jan 3, 2020
Current and near term quantum computers (i.e. NISQ devices) are limited in their computational power in part due to imperfect gate operations and imperfect qubits. This naturally constrains the computations run on these devices to be low-depth and sh...
Cost-Function-Dependent Barren Plateaus in Shallow Quantum Neural Networks
M. Cerezo, A. Sone, Tyler Volkoff +2 more·Jan 2, 2020
Variational quantum algorithms (VQAs) optimize the parameters $\boldsymbol{\theta}$ of a quantum neural network $V(\boldsymbol{\theta})$ to minimize a cost function $C$. While VQAs may enable practical applications of noisy quantum computers, they ar...