Quantum Brain

Papers

Live trends in quantum computing research, updated daily from arXiv.

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28,582

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13,646 papers in 12 months (-16% vs prior quarter)

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Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

6,294 papers found

Perceval: A Software Platform for Discrete Variable Photonic Quantum Computing

Nicolas Heurtel, A. Fyrillas, Grégoire de Gliniasty +13 more·Apr 1, 2022

We introduce Perceval, an open-source software platform for simulating and interfacing with discrete-variable photonic quantum computers, and describe its main features and components. Its Python front-end allows photonic circuits to be composed from...

PhysicsComputer Science

Inverse design of high-dimensional quantum optical circuits in a complex medium

Suraj Goel, Saroch Leedumrongwatthanakun, N. H. Valencia +5 more·Apr 1, 2022

Programmable optical circuits are an important tool in developing quantum technologies such as transceivers for quantum communication and integrated photonic chips for quantum information processing. Maintaining precise control over every individual ...

Physics

Quantum simulation of real-space dynamics

Andrew M. Childs, J. Leng, Tongyang Li +2 more·Mar 31, 2022

<jats:p>Quantum simulation is a prominent application of quantum computers. While there is extensive previous work on simulating finite-dimensional systems, less is known about quantum algorithms for real-space dynamics. We conduct a systematic study...

PhysicsComputer Science

Entanglement dynamics of noisy random circuits

Zhi Li, Shengqi Sang, T. Hsieh·Mar 30, 2022

The process by which open quantum systems thermalize with an environment is both of fun-damental interest and relevant to noisy quantum devices. As a minimal model of this process, we consider a qudit chain evolving under local random unitaries and l...

Physics

Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits

Jiahao Yao, Haoya Li, Marin Bukov +2 more·Mar 30, 2022

Variational quantum algorithms stand at the forefront of simulations on near-term and future fault-tolerant quantum devices. While most variational quantum algorithms involve only continuous optimization variables, the representational power of the v...

Computer SciencePhysics

Adaptive Quantum State Tomography with Active Learning

Hannah Lange, Matjaž Kebrič, M. Buser +3 more·Mar 29, 2022

Recently, tremendous progress has been made in the field of quantum science and technologies: different platforms for quantum simulation as well as quantum computing, ranging from superconducting qubits to neutral atoms, are starting to reach unprece...

PhysicsComputer Science

Quantum simulation beyond Hamiltonian paradigm: categorical quantum simulation

Yu-Jie Zhu·Mar 29, 2022

With the development of topological field theory, the mathematical tool of the tensor category was also introduced into physics. Traditional group theory corresponds to a special category,group category. Tensor categories can describe higher-order int...

Physics

Hardware Efficient Quantum Simulation of Non-Abelian Gauge Theories with Qudits on Rydberg Platforms.

D. González-Cuadra, T. Zache, J. Carrasco +2 more·Mar 29, 2022

Non-Abelian gauge theories underlie our understanding of fundamental forces in nature, and developing tailored quantum hardware and algorithms to simulate them is an outstanding challenge in the rapidly evolving field of quantum simulation. Here we t...

MedicinePhysics

Local Variational Quantum Compilation of Large-Scale Hamiltonian Dynamics

Kaoru Mizuta, Yuya O. Nakagawa, K. Mitarai +1 more·Mar 29, 2022

Implementing time evolution operators on quantum circuits is important for quantum simulation. However, the standard way, Trotterization, requires a huge numbers of gates to achieve desirable accuracy. Here, we propose a local variational quantum com...

Physics

Modelling carbon capture on metal-organic frameworks with quantum computing

G. Greene‐Diniz, D. Manrique, Wassil Sennane +7 more·Mar 29, 2022

Despite the recent progress in quantum computational algorithms for chemistry, there is a dearth of quantum computational simulations focused on material science applications, especially for the energy sector, where next generation sorbing materials ...

Physics

Digital quantum simulation of non-perturbative dynamics of open systems with orthogonal polynomials

J. D. Guimarães, M. Vasilevskiy, L. S. Barbosa·Mar 28, 2022

Classical non-perturbative simulations of open quantum systems' dynamics face several scalability problems, namely, exponential scaling of the computational effort as a function of either the time length of the simulation or the size of the open syst...

PhysicsComputer Science

A Quantum Algorithm for Solving Eigenproblem of the Laplacian Matrix of a Fully Connected Weighted Graph

Hailing Liu, Lin-Chun Wan, Chao-Hua Yu +4 more·Mar 28, 2022

Solving eigenproblem of the Laplacian matrix of a fully connected weighted graph has wide applications in data science, machine learning, and image processing, etc. However, this is very challenging because it involves expensive matrix operations. He...

Physics

Observing and braiding topological Majorana modes on programmable quantum simulators

N. Harle, O. Shtanko, R. Movassagh·Mar 28, 2022

Electrons are indivisible elementary particles, yet paradoxically a collection of them can act as a fraction of a single electron, exhibiting exotic and useful properties. One such collective excitation, known as a topological Majorana mode, is natur...

PhysicsMedicine

Reference-State Error Mitigation: A Strategy for High Accuracy Quantum Computation of Chemistry

P. Lolur, Mårten Skogh, Christopher N. Warren +6 more·Mar 28, 2022

Decoherence and gate errors severely limit the capabilities of state-of-the-art quantum computers. This work introduces a strategy for reference-state error mitigation (REM) of quantum chemistry that can be straightforwardly implemented on current an...

MedicinePhysics

Variational quantum simulation of long-range interacting systems

Chufan Lyu, Xiaoyue Tang, Junning Li +3 more·Mar 27, 2022

Current quantum simulators suffer from multiple limitations such as short coherence time, noisy operations, faulty readout and restricted qubit connectivity in some platforms. Variational quantum algorithms are the most promising approach in near-ter...

Physics

Simulating open quantum many-body systems using optimised circuits in digital quantum simulation

Minjae Jo, Myungshik S. Kim·Mar 27, 2022

Digital quantum computers are potentially an ideal platform for simulating open quantum many-body systems beyond the digital classical computers. Many studies have focused on obtaining the ground state by simulating time dynamics or variational appro...

Physics

Implementation of a two-stroke quantum heat engine with a collisional model

F. V. Melo, Nahum S'a, I. Roditi +4 more·Mar 25, 2022

We put forth a quantum simulation of a stroboscopic two-stroke thermal engine in the IBMQ processor. The system consists of a quantum spin chain connected to two baths at their boundaries, prepared at different temperatures using the variational quan...

Physics

Accelerating Simulation of Quantum Circuits under Noise via Computational Reuse

M. Wang, Ruirui C. Huang, Swamit S. Tannu +1 more·Mar 25, 2022

To realize the full potential of quantum computers, we must mitigate qubit errors by developing noise-aware algorithms, compilers, and architectures. Thus, simulating quantum programs on high-performance computing (HPC) systems with different noise m...

PhysicsComputer Science

Visualizing quantum mechanics in an interactive simulation – Virtual Lab by Quantum Flytrap

P. Migdal, Klementyna Jankiewicz, Pawel Grabarz +2 more·Mar 24, 2022

Abstract. Virtual Lab by Quantum Flytrap is a no-code online laboratory of an optical table, presenting quantum phenomena interactively and intuitively. It supports a real-time simulation of up to three entangled photons. Users can place typical opti...

EngineeringPhysics

String order melting of spin-1 particle chains in superconducting transmons using optimal control

Paul Kairys, T. Humble·Mar 23, 2022

Utilizing optimal control to simulate a model Hamiltonian is an emerging strategy that leverages the intrinsic physics of a device with digital quantum simulation methods. Here we evaluate optimal control for probing the non-equilibrium properties of...

Physics
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