Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Probing ground-state properties of the kagome antiferromagnetic Heisenberg model using the variational quantum eigensolver
J. Bosse, A. Montanaro·Aug 18, 2021
Finding and probing the ground states of spin lattices, such as the antiferromagnetic Heisenberg model on the kagome lattice (KAFH), is a very challenging problem on classical computers and only possible for relatively small systems. We propose using...
Testable Designs of Toffoli Fredkin Reversible Circuits
Rohit Kundu, Hritam Basak, Akhil Koilada +3 more·Aug 17, 2021
Loss of every bit in traditional logic circuits involves dissipation of power in the form of heat that evolve to the environment. Reversible logic is one of the alternatives that have capabilities to mitigate this dissipation by preventing the loss o...
Reflection and transmission of electromagnetic pulses at a planar dielectric interface: Theory and quantum lattice simulations
A. Ram, G. Vahala, L. Vahala +1 more·Aug 16, 2021
There is considerable interest in the application of quantum information science to advance computations in plasma physics. Many of the topics in fusion plasma physics are classical in nature. In order to implement them on quantum computers it will r...
Tensor Networks for Simulating Quantum Circuits on FPGAs
Maksim Levental·Aug 15, 2021
Most research in quantum computing today is performed against simulations of quantum computers rather than true quantum computers. Simulating a quantum computer entails implementing all of the unitary operators corresponding to the quantum gates as t...
QDataSet, quantum datasets for machine learning
Elija Perrier, Akram Youssry, C. Ferrie·Aug 15, 2021
The availability of large-scale datasets on which to train, benchmark and test algorithms has been central to the rapid development of machine learning as a discipline. Despite considerable advancements, the field of quantum machine learning has thus...
Asymptotically Optimal Circuit Depth for Quantum State Preparation and General Unitary Synthesis
Xiaoming Sun, Guojing Tian, Shuai Yang +2 more·Aug 13, 2021
The quantum state preparation problem aims to prepare an <inline-formula> <tex-math notation="LaTeX">$n$ </tex-math></inline-formula>-qubit quantum state <inline-formula> <tex-math notation="LaTeX">$|\psi _{v}\rangle =\sum _{k=0}^{2^{n}-1}v_{k}|k\ran...
Real-time simulation of light-driven spin chains on quantum computers
M. Rodriguez-Vega, Elizabeth Carlander, A. Bahri +3 more·Aug 12, 2021
In this work, we study the real-time evolution of periodically driven (Floquet) systems on a quantum computer using IBM quantum devices. We consider a driven Landau–Zener model and compute the transition probability between the Floquet steady states ...
Designing gate operations for single ion quantum computing in rare-earth-ion-doped crystals
A. Kinos, L. Rippe, S. Kroll +1 more·Aug 10, 2021
Quantum computers based on rare-earth-ion-doped crystals show promising properties in terms of scalability and connectivity if single ions can be used as qubits. Through simulations, we investigate gate operations on such qubits and discuss how gate ...
QForte: an efficient state simulator and quantum algorithms library for molecular electronic structure
Nicholas H Stair, Francesco A. Evangelista·Aug 10, 2021
We introduce a novel open-source software package QForte, a comprehensive development tool for new quantum simulation algorithms. QForte incorporates functionality for handling molecular Hamiltonians, fermionic encoding, ansatz construction, time evo...
Quantum algorithms for quantum dynamics: A performance study on the spin-boson model
Alexander Miessen, Pauline J. Ollitrault, I. Tavernelli·Aug 9, 2021
Quantum algorithms for quantum dynamics simulations are traditionally based on implementing a Trotter-approximation of the time-evolution operator. This approach typically relies on deep circuits and is therefore hampered by the substantial limitatio...
Matrix-Model Simulations Using Quantum Computing, Deep Learning, and Lattice Monte Carlo
E. Rinaldi, Xizhi Han, Mohammad Hassan +4 more·Aug 6, 2021
Matrix quantum mechanics plays various important roles in theoretical physics, such as a holographic description of quantum black holes. Understanding quantum black holes and the role of entanglement in a holographic setup is of paramount importance ...
Algebraic Compression of Quantum Circuits for Hamiltonian Evolution
Efekan Kökcü, Daan Camps, Lindsay Bassman +4 more·Aug 6, 2021
Unitary evolution under a time dependent Hamiltonian is a key component of simulation on quantum hardware. Synthesizing the corresponding quantum circuit is typically done by breaking the evolution into small time steps, also known as Trotterization,...
An Algebraic Quantum Circuit Compression Algorithm for Hamiltonian Simulation
Daan Camps, Efekan Kökcü, Lindsay Bassman +3 more·Aug 6, 2021
Quantum computing is a promising technology that harnesses the peculiarities of quantum mechanics to deliver computational speedups for some problems that are intractable to solve on a classical computer. Current generation noisy intermediate-scale q...
Quantum Computing: Implementing Hitting Time for Coined Quantum Walks on Regular Graphs
Ellinor Wanzambi, Stina Andersson·Aug 5, 2021
In recent years, quantum walks have been widely researched and have shown exciting properties. One such is a quadratic speed-up in hitting time compared to its classical counterpart. In this paper, we design a quantum circuit for the MNRS algorithm, ...
2QAN: a quantum compiler for 2-local qubit hamiltonian simulation algorithms
L. Lao, D. Browne·Aug 4, 2021
Simulating quantum systems is one of the most important potential applications of quantum computers. The high-level circuit defining the simulation needs to be compiled into one that complies with hardware limitations such as qubit architecture (conn...
The boundary for quantum advantage in Gaussian boson sampling
J. Bulmer, B. Bell, Rachel S Chadwick +9 more·Aug 3, 2021
Identifying the boundary beyond which quantum machines provide a computational advantage over their classical counterparts is a crucial step in charting their usefulness. Gaussian boson sampling (GBS), in which photons are measured from a highly enta...
On-chip scalable highly pure and indistinguishable single-photon sources in ordered arrays: Path to quantum optical circuits
Jiefei Zhang, Swarnabha Chattaraj, Qi Huang +3 more·Aug 3, 2021
Realization of quantum optical circuits is at the heart of quantum photonic information processing. A long-standing obstacle, however, has been the absence of a suitable platform of single photon sources (SPSs). Such SPSs need to be in spatially orde...
Hybrid Quantum-Classical Neural Network for Incident Detection
Zadid Khan, S. Khan, J. Tine +7 more·Aug 2, 2021
The effectiveness and dependability of real-time incident detection models directly impact the safety and operational conditions of the affected traffic routes. Recent advancements in cloud-based quantum computing infrastructure and developments in n...
Long-time error-mitigating simulation of open quantum systems on near term quantum computers
Brian Rost, L. Del Re, N. Earnest +3 more·Aug 2, 2021
We study an open quantum system simulation on quantum hardware, which demonstrates robustness to hardware errors even with deep circuits containing up to two thousand entangling gates. We simulate two systems of electrons coupled to an infinite therm...
Quantum state preparation protocol for encoding classical data into the amplitudes of a quantum information processing register's wave function
S. Ashhab·Jul 29, 2021
We present a protocol for encoding N real numbers stored in N memory registers into the amplitudes of the quantum superposition that describes the state of log2N qubits. This task is one of the main steps in quantum machine learning algorithms applie...