Quantum Brain

Papers

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

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13,351 papers in 12 months (+7% vs prior quarter)

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Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

6,231 papers found

JuliVQC: an Efficient Variational Quantum Circuit Simulator for Near-Term Quantum Algorithms

Wei-You Liao, Xiang Wang, Xiao-Yue Xu +4 more·Jun 27, 2024

We introduce JuliVQC: a light-weight, yet extremely efficient variational quantum circuit simulator. JuliVQC is part of an effort for classical simulation of the \textit{Zuchongzhi} quantum processors, where it is extensively used to characterize the...

Physics

Unified Architecture for Quantum Lookup Tables

Shuchen Zhu, Aarthi Sundaram, Guang Hao Low·Jun 26, 2024

Quantum access to arbitrary classical data encoded in unitary black-box oracles underlies interesting data-intensive quantum algorithms, such as machine learning or electronic structure simulation. The feasibility of these applications depends crucia...

Quantum Physics

Near-Term Quantum Spin Simulation of the Spin-$\frac{1}{2}$ Square $J_{1}-J_{2}$ Heisenberg Model

Dylan Sheils, T. Rhone·Jun 26, 2024

Simulating complex spin systems, known for high frustration and entanglement, presents significant challenges due to their intricate energy landscapes. This study focuses on the $J_{1}-J_{2}$ Heisenberg model, renowned for its rich phase behavior on ...

Physics

Computational Fluid Dynamics on Quantum Computers

M. Syamlal, Carter Copen, M. Takahashi +2 more·Jun 26, 2024

QubitSolve is working on a quantum solution for computational fluid dynamics (CFD). We have created a variational quantum CFD (VQCFD) algorithm and a 2D Software Prototype based on it. By testing the Software Prototype on a quantum simulator, we demo...

Physics

Localized statistics decoding for quantum low-density parity-check codes

Timo Hillmann, Lucas Berent, A. O. Quintavalle +3 more·Jun 26, 2024

Quantum low-density parity-check codes are a promising candidate for fault-tolerant quantum computing with considerably reduced overhead compared to the surface code. However, the lack of a practical decoding algorithm remains a barrier to their impl...

PhysicsComputer ScienceMathematicsMedicine

SuperGrad: a differentiable simulator for superconducting processors

Ziang Wang, Feng Wu, Hui-Hai Zhao +2 more·Jun 26, 2024

One significant advantage of superconducting processors is their extensive design flexibility, which encompasses various types of qubits and interactions. Given the large number of tunable parameters of a processor, the ability to perform gradient op...

PhysicsComputer Science

Low-overhead transversal fault tolerance for universal quantum computation

Hengyun Zhou, Chen Zhao, M. Cain +7 more·Jun 25, 2024

Fast, reliable logical operations are essential for realizing useful quantum computers1, 2–3. By redundantly encoding logical qubits into many physical qubits and using syndrome measurements to detect and correct errors, we can achieve low logical er...

PhysicsMedicineComputer Science

Equivalence of dynamics of disordered quantum ensembles and semi-infinite lattices

H. Gestsson, C. Nation, A. Olaya-Castro·Jun 25, 2024

We develop a formalism for mapping the exact dynamics of an ensemble of disordered quantum systems onto the dynamics of a single particle propagating along a semi-infinite lattice, with interactions determined by the probability distribution of disor...

Physics

Quantum-inspired fluid simulation of two-dimensional turbulence with GPU acceleration

Leonhard Hölscher, P. Rao, Lukas Müller +4 more·Jun 25, 2024

Tensor network algorithms can efficiently simulate complex quantum many-body systems by utilizing knowledge of their structure and entanglement. These methodologies have been adapted recently for solving the Navier-Stokes equations, which describe a ...

Physics

MindSpore Quantum: A User-Friendly, High-Performance, and AI-Compatible Quantum Computing Framework

Xusheng Xu, Jiangyu Cui, Zidong Cui +36 more·Jun 25, 2024

We introduce MindSpore Quantum, a pioneering hybrid quantum-classical framework with a primary focus on the design and implementation of noisy intermediate-scale quantum (NISQ) algorithms. Leveraging the robust support of MindSpore, an advanced open-...

Physics

Efficient classical algorithm for simulating boson sampling with heterogeneous partial distinguishability

S. N. V. D. Hoven, E. Kanis, J. Renema·Jun 25, 2024

Boson sampling is one of the leading protocols for demonstrating a quantum advantage, but the theory of how this protocol responds to noise is still incomplete. We extend the theory of classical simulation of boson sampling with partial distinguishab...

Physics

A hybrid quantum-classical framework for computational fluid dynamics

Chuang-Chao Ye, Ning An, Teng-Yang Ma +5 more·Jun 24, 2024

Recent advancements in quantum computing provide opportunities to address the challenges of computational resource limitations in computational fluid dynamics (CFD). This work presents a hybrid quantum-classical CFD framework that leverages quantum l...

Physics

Collective Bit Flipping-Based Decoding of Quantum LDPC Codes

Dimitris Chytas, Nithin Raveendran, Bane Vasi'c·Jun 24, 2024

Quantum low-density parity-check (QLDPC) codes have been proven to achieve higher minimum distances at higher code rates than surface codes. However, this family of codes must cope with the stringent latency constraints imposed by quantum technology ...

Computer ScienceMathematicsPhysics

Simulation of Quantum Homomorphic Encryption: Demonstration and Analysis

Sohrab Ganjian, Connor Paddock, Anne Broadbent·Jun 24, 2024

Quantum homomorphic encryption (QHE), allows a quantum cloud server to compute on private data as uploaded by a client. We provide a proof-of-concept software simulation for QHE, according to the "EPR" scheme of Broadbent and Jeffery, for universal q...

Computer SciencePhysics

HAM-Schrodingerisation: a Generic Framework of Quantum Simulation for Any Nonlinear PDEs

Shijun Liao·Jun 22, 2024

Recently, Jin et al. proposed a quantum simulation technique for ANY linear partial differential equations (PDEs), called Schr\"{o}dingerisation [1,2,3]. In this paper, the Schr\"{o}dingerisation technique for quantum simulation is expanded to ANY no...

Physics

Observation of a non-Hermitian supersonic mode on a trapped-ion quantum computer

Yuxuan Zhang, J. Carrasquilla, Yong Baek Kim·Jun 21, 2024

Quantum computers have long been anticipated to excel in simulating quantum many-body physics. In this work, we demonstrate the power of variational quantum circuits for resource-efficient simulations of dynamical and equilibrium physics in non-Hermi...

MedicinePhysics

Nonlinearity of the Fidelity in Open Qudit Systems: Gate and Noise Dependence in High-dimensional Quantum Computing

Jean-Gabriel Hartmann, D. Jankovi'c, R'emi Pasquier +2 more·Jun 21, 2024

High-dimensional quantum computing has generated significant interest due to its potential to address scalability and error correction challenges faced by traditional qubit-based systems. This paper investigates the Average Gate Fidelity (AGF) of sin...

Computer SciencePhysicsMathematics

Entanglement and iSWAP gate between molecular qubits

L. R. Picard, Annie J. Park, Gabriel E. Patenotte +4 more·Jun 21, 2024

Quantum computation and simulation rely on long-lived qubits with controllable interactions. Trapped polar molecules have been proposed as a promising quantum computing platform, offering scalability and single-particle addressability while still lev...

PhysicsMedicine

A differentiable quantum phase estimation algorithm

D. Castaldo, S. Jahangiri, A. Migliore +2 more·Jun 20, 2024

The simulation of electronic properties is a pivotal issue in modern electronic structure theory, driving significant efforts over the past decades to develop protocols for computing energy derivatives. In this work, we address this problem by develo...

Physics

Quantum extreme learning of molecular potential energy surfaces and force fields

Gabriele Lo Monaco, Marco Bertini, Salvatore Lorenzo +1 more·Jun 20, 2024

Quantum machine learning algorithms are expected to play a pivotal role in quantum chemistry simulations in the immediate future. One such key application is the training of a quantum neural network to learn the potential energy surface and force fie...

PhysicsComputer Science
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