Papers

D. Berenstein, H. Kawai, R. Brower·Jan 7, 2022

A new quantum link microstructure was proposed for the lattice quantum chromodynamics (QCD) Hamiltonian, replacing the Wilson gauge links with a bilinear of fermionic qubits, later generalized to D-theory. This formalism provides a general framework ...

Kaixuan Huang, Xiaoxia Cai, Hao Li +12 more·Jan 7, 2022

Simulating response properties of molecules is crucial for interpreting experimental spectroscopies and accelerating materials design. However, it remains a long-standing computational challenge for electronic structure methods on classical computers...

Masahito Hayashi·Jan 7, 2022

We derive an analytical algorithm for the channel capacity of a classical channel without any iteration, while its existing algorithms require iterations and the number of iterations depends on the required precision level. Hence, our algorithm is it...

D. Huerga·Jan 7, 2022

We introduce a hybrid quantum-classical variational algorithm to simulate ground-state phase diagrams of frustrated quantum spin models in the thermodynamic limit. The method is based on a cluster-Gutzwiller ansatz where the wave function of the clus...

Reza Mahroo, A. Kargarian·Jan 7, 2022

This paper proposes a hybrid quantum-classical algorithm to solve a fundamental power system problem called unit commitment (UC). The UC problem is decomposed into a quadratic subproblem, a quadratic unconstrained binary optimization (QUBO) subproble...

Megan L. Dahlhauser, T. Humble·Jan 6, 2022

Effective methods for characterizing the noise in quantum computing devices are essential for programming and debugging circuit performance. Existing approaches vary in the information obtained as well as the amount of quantum and classical resources...

S. Kempkes, P. Capiod, S. Ismaili +10 more·Jan 6, 2022

Zero-energy modes localized at the ends of one-dimensional (1D) wires hold great potential as qubits for fault-tolerant quantum computing. However, all the candidates known to date exhibit a wave function that decays exponentially into the bulk and h...

Phillip C. Lotshaw, Thien Nguyen, Anthony Santana +5 more·Jan 6, 2022

The quantum approximate optimization algorithm (QAOA) is an approach for near-term quantum computers to potentially demonstrate computational advantage in solving combinatorial optimization problems. However, the viability of the QAOA depends on how ...

T. Ichikawa·Jan 6, 2022

We present a bibliometric analysis of the research papers on quantum computation and quantum algorithms published in 1985-2020. We identify three distinct periods from the trend of the annual number of published papers, and show the 20 top contributi...

J. Hrdina, Aleš Návrat, Petr Vašík·Jan 6, 2022

We propose to represent both n-qubits and quantum gates acting on them as elements in the complex Clifford algebra defined on a complex vector space of dimension 2n. In this framework, the Dirac formalism can be realized in straightforward way. We de...

A. S. Arora, A. Gheorghiu, Uttam Singh·Jan 6, 2022

An important theoretical problem in the study of quantum computation, that is also practically relevant in the context of near-term quantum devices, is to understand the computational power of hybrid models, that combine poly-time classical computati...

E. Allen, J. Bulmer, S. Small·Jan 5, 2022

This document explores how to make music using quantum computing algorithms. The text is an unedited pre-publication chapter which will appear in the book"Quantum Computer Music", Miranda, E. R. (Editor). This chapters provides the background and spe...

Wen‐Qiang Liu, Xiaoping Zhou, Hai‐Rui Wei·Jan 5, 2022

Unitary operation is an essential step for quantum information processing. We first propose an iterative procedure for decomposing a general unitary operation without resorting to controlled-NOT gate and single-qubit rotation library. Based on the re...

Jacopo Rizzo, Francesco Libbi, F. Tacchino +3 more·Jan 5, 2022

Many-body Green's functions encode all the properties and excitations of interacting electrons. While these are challenging to be evaluated accurately on a classical computer, recent efforts have been directed towards finding quantum algorithms that ...

Tzu-Ching Yen, Aadithya Ganeshram, A. Izmaylov·Jan 5, 2022

Obtaining the expectation value of an observable on a quantum computer is a crucial step in the variational quantum algorithms. For complicated observables such as molecular electronic Hamiltonians, one of the strategies is to present the observable ...

Gabriele Agliardi, M. Grossi, M. Pellen +1 more·Jan 5, 2022

We apply quantum integration to elementary particle-physics processes. In particular, we look at scattering processes such as ${\rm e}^+{\rm e}^- \to q \bar q$ and ${\rm e}^+{\rm e}^- \to q \bar q' {\rm W}$. The corresponding probability distribution...

Joonho Kim, Y. Oz, Dario Rosa·Jan 5, 2022

We consider quantum chaos diagnostics of the variational circuit states at random parameters and explore their connection to the circuit expressibility and optimizability. By measuring the operator spreading coefficient and the eigenvalue spectrum of...

Sudev Pradhan, Amlandeep Nayak, S. K. Satpathy +4 more·Jan 5, 2022

The one-dimensional Ising model with its connections to several physical concepts plays a vital role in comprehension of several principles, phenomena and numerical methods. The Hamiltonian of a coupled one-dimensional dissipative spin system in the ...

Davis Arthur, Prasanna Date·Jan 5, 2022

Deep learning is one of the most successful and far-reaching strategies used in machine learning today. However, the scale and utility of neural networks is still greatly limited by the current hardware used to train them. These concerns have become ...

Zidu Liu, Pei-Xin Shen, Weikang Li +2 more·Jan 5, 2022

Capsule networks (CapsNets), which incorporate the paradigms of connectionism and symbolism, have brought fresh insights into artificial intelligence (AI). The capsule, as the building block of CapsNets, is a group of neurons represented by a vector ...