Quantum Brain

Papers

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

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14,971 papers in 12 months (-20% vs prior quarter)

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Hardware platform mentions in abstractsPhotonic leads

30,597 papers found

QOPTLib: a Quantum Computing Oriented Benchmark for Combinatorial Optimization Problems

E. Osaba, Esther Villar-Rodriguez·Apr 24, 2024

In this paper, we propose a quantum computing oriented benchmark for combinatorial optimization. This benchmark, coined as QOPTLib, is composed of 40 instances equally distributed over four well-known problems: Traveling Salesman Problem, Vehicle Rou...

PhysicsComputer Science

Quantum Walks on Simplicial Complexes and Harmonic Homology: Application to Topological Data Analysis with Superpolynomial Speedups

Ryu Hayakawa, Kuo-Chin Chen, Min-Hsiu Hsieh·Apr 23, 2024

This work investigates whether quantum walks on simplicial complexes exhibit quantum advantages. We introduce a novel quantum walk that encodes the combinatorial Laplacian, a key object reflecting the topology of the simplicial complex. We construct ...

Quantum Physics

Effective Dynamics of Qubit Networks via Phase-Covariant Quantum Ensembles

S. Prudhoe, U. Akhouri, Tommy Chin +1 more·Apr 23, 2024

We derive a new constructive procedure to rapidly generate ensembles of phase-covariant dynamical maps that may be associated to the individual spins of a closed quantum system. We do this by first computing the single-spin dynamical maps in small XX...

PhysicsComputer Science

The quantum adiabatic algorithm suppresses the proliferation of errors

Benjamin F. Schiffer, A. Rubio, Rahul Trivedi +1 more·Apr 23, 2024

The propagation of errors severely compromises the reliability of quantum computations. The quantum adiabatic algorithm is a physically motivated method to prepare ground states of classical and quantum Hamiltonians. Here, we analyze the proliferatio...

Physics

The extended Lipkin model: proposal for implementation in a quantum platform and machine learning analysis of its phase diagram

S. Baid, A. S'aiz, L. Lamata +5 more·Apr 23, 2024

We investigate the Extended Lipkin Model (ELM), whose phase diagram mirrors that of the Interacting Boson Approximation model (IBA). Unlike the standard Lipkin model, the ELM (as the IBA) features both first- and second-order quantum shape phase tran...

Physics

A resource-efficient variational quantum algorithm for mRNA codon optimization

Hongfeng Zhang, A. Sarkar, Koen Bertels·Apr 23, 2024

Optimizing the mRNA codon has an essential impact on gene expression for a specific target protein. It is an NP-hard problem; thus, exact solutions to such optimization problems become computationally intractable for realistic problem sizes on both c...

PhysicsComputer Science

Digital Quantum Simulation for Spectroscopy of Schwinger Model

Dongwook Ghim, Masazumi Honda·Apr 23, 2024

This note discusses a method for computing the energy spectra of quantum field theory utilizing digital quantum simulation. A quantum algorithm, called coherent imaging spectroscopy, quenches the vacuum with a time-oscillating perturbation and then r...

Physics

Runtime-coherence trade-offs for hybrid SAT-solvers

Vahideh Eshaghian, Soren Wilkening, Johan AAberg +1 more·Apr 23, 2024

Many search-based quantum algorithms that achieve a theoretical speedup are not practically relevant since they require extraordinarily long coherence times, or lack the parallelizability of their classical counterparts.This raises the question of ho...

Physics

Quantum Computational Advantage with Constant-Temperature Gibbs Sampling

Thiago Bergamaschi, Chi-Fang Chen, Yunchao Liu·Apr 23, 2024

A quantum system coupled to a bath at some fixed, finite temperature converges to its Gibbs state. This thermalization process defines a natural, physically-motivated model of quantum computation. However, whether quantum computational advantage can ...

Computer SciencePhysics

Tensor networks based quantum optimization algorithm

V.Akshay, Ar.Melnikov, A.Termanova +1 more·Apr 23, 2024

In optimization, one of the well-known classical algorithms is power iterations. Simply stated, the algorithm recovers the dominant eigenvector of some diagonalizable matrix. Since numerous optimization problems can be formulated as an eigenvalue/eig...

Physics

Distributed Architecture for FPGA-based Superconducting Qubit Control

Neelay Fruitwala, Gang Huang, Yilun Xu +6 more·Apr 23, 2024

Quantum circuits utilizing real time feedback techniques (such as active reset and mid-circuit measurement) are a powerful tool for NISQ-era quantum computing. Such techniques are crucial for implementing error correction protocols, and can reduce th...

PhysicsComputer Science

Quantum-Enhanced Neural Exchange-Correlation Functionals

Igor O. Sokolov, Gert-Jan Both, Art D. Bochevarov +6 more·Apr 22, 2024

Kohn-Sham Density Functional Theory (KS-DFT) provides the exact ground state energy and electron density of a molecule, contingent on the as-yet-unknown universal exchange-correlation (XC) functional. Recent research has demonstrated that neural netw...

Quantum Physicscond-mat.dis-nncond-mat.str-elphysics.chem-ph

A New Optimization Model for Multiple-Control Toffoli Quantum Circuit Design

Jihye Jung, Kevin Dalmeijer, P. V. Hentenryck·Apr 22, 2024

As quantum technology advances, the efficient design of quantum circuits has become an important area of research. This paper provides an introduction to the MCT quantum circuit design problem for reversible Boolean functions with the necessary backg...

Computer ScienceMathematicsPhysics

Pricing of European Calls with the Quantum Fourier Transform

Tom Ewen·Apr 22, 2024

The accurate valuation of financial derivatives plays a pivotal role in the finance industry. Although closed formulas for pricing are available for certain models and option types, exemplified by the European Call and Put options in the Black-Schole...

PhysicsEconomics

A novel perspective on denoising using quantum localization with application to medical imaging

Amirreza Hashemi, Sayantan Dutta, B. Georgeot +2 more·Apr 22, 2024

Background noise in many fields such as medical imaging poses significant challenges for accurate diagnosis, prompting the development of denoising algorithms. Traditional methodologies, however, often struggle to address the complexities of noisy en...

MedicineEngineeringPhysics

Dynamical quantum Ansatz tree approach for the heat equation

N. Guseynov, W. Pogosov, A. Lebedev·Apr 22, 2024

Quantum computers can be used for the solution of various problems of mathematical physics. In the present paper, we consider a discretized version of the heat equation and address its solution on quantum computer using variational Anzats tree approa...

Physics

HamilToniQ: An Open-Source Benchmark Toolkit for Quantum Computers

Xiaotian Xu, Kuan-Cheng Chen, Robert Wille·Apr 22, 2024

This paper introduces HamilToniQ, an open-source benchmarking toolkit for Quantum Processing Units (QPUs). It addresses the complexities of quantum computations by providing a methodological framework to assess QPU types, topologies, and systems. Ham...

Computer SciencePhysics

Approximating Korobov functions via quantum circuits

Junaid Aftab, Haizhao Yang·Apr 22, 2024

Understanding the capacity of quantum circuits through the lens of approximation theory is essential for evaluating the complexity of quantum circuits required to solve various problems in scientific computation. We design quantum circuits capable of...

Physics

Efficient molecular conformation generation with quantum-inspired algorithm

Yunting Li, Xiaopeng Cui, Zhaoping Xiong +7 more·Apr 22, 2024

Conformation generation, also known as molecular unfolding (MU), is a crucial step in structure-based drug design, remaining a challenging combinatorial optimization problem. Quantum annealing (QA) has shown great potential for solving certain combin...

MedicinePhysics

QuantumAnnealing: A Julia Package for Simulating Dynamics of Transverse Field Ising Models

Zachary Morrell, Marc Vuffray, Sidhant Misra +1 more·Apr 22, 2024

Analog Quantum Computers are promising tools for improving performance on applications such as modeling behavior of quantum materials, providing fast heuristic solutions to optimization problems, and simulating quantum systems. Due to the challenges ...

Computer SciencePhysics
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