Quantum Brain

Papers

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

Total Papers

31,204

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1,213

Today

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Research Volume

15,374 papers in 12 months (-8% vs prior quarter)

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Papers by research theme (12 months). Hover for details.

Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

31,204 papers found

Effectiveness of quantum annealing for continuous-variable optimization

S. Arai, Hiroki Oshiyama, H. Nishimori·May 11, 2023

The application of quantum annealing to the optimization of continuous-variable functions is a relatively unexplored area of research. We test the performance of quantum annealing applied to a one-dimensional continuous-variable function with a rugge...

Physics

Stochastic Approximation of Variational Quantum Imaginary Time Evolution

Julien Gacon, Christa Zoufal, Giuseppe Carleo +1 more·May 11, 2023

The imaginary-time evolution of quantum states is integral to various fields, ranging from natural sciences to classical optimization or machine learning. Since simulating quantum imaginary-time evolution generally requires storing an exponentially l...

PhysicsComputer Science

Adaptive variational simulation for open quantum systems

Huo Chen, N. Gomes, Siyuan Niu +1 more·May 11, 2023

Emerging quantum hardware provides new possibilities for quantum simulation. While much of the research has focused on simulating closed quantum systems, the real-world quantum systems are mostly open. Therefore, it is essential to develop quantum al...

PhysicsComputer Science

Family of Quantum Codes with Exotic Transversal Gates.

Eric Kubischta, Ian Teixeira·May 11, 2023

Recently, an algorithm has been constructed that shows that the binary icosahedral group 2I together with a T-like gate forms the most efficient single-qubit universal gate set. To carry out the algorithm fault tolerantly requires a code that impleme...

PhysicsMedicine

Exploration of Optimizing FPGA-based Qubit Controller for Experiments on Superconducting Quantum Computing Hardware

Hans Johnson, S. Zorzetti, J. Saniie·May 11, 2023

This work explores avenues and target areas for optimizing FPGA-based control hardware for experiments conducted on superconducting quantum computing systems and serves as an introduction to some of the current research at the intersection of classic...

Computer SciencePhysics

Mapping Quantum Circuits to Modular Architectures with QUBO

Medina Bandic, Luise Prielinger, Jonas Nusslein +8 more·May 11, 2023

Modular quantum computing architectures are a promising alternative to monolithic QPU (Quantum Processing Unit) designs for scaling up quantum devices. They refer to a set of interconnected QPUs or cores consisting of tightly coupled quantum bits tha...

Computer SciencePhysics

Use VQE to calculate the ground energy of hydrogen molecules on IBM Quantum

Ma Qing, Wei Xie·May 11, 2023

Quantum computing has emerged as a promising technology for solving problems that are intractable for classical computers. In this study, we introduce quantum computing and implement the Variational Quantum Eigensolver (VQE) algorithm using Qiskit on...

Physics

Parallelizing Quantum-Classical Workloads: Profiling the Impact of Splitting Techniques

Tuhin Khare, Ritajit Majumdar, Rajiv Sangle +3 more·May 11, 2023

Quantum computers are the next evolution of computing hardware. Quantum devices are being exposed through the same familiar cloud platforms used for classical computers, and enabling seamless execution of hybrid applications that combine quantum and ...

PhysicsComputer Science

Enabling Full-Stack Quantum Computing with Changeable Error-Corrected Qubits

Anbang Wu, Keyi Yin, Andrew W. Cross +2 more·May 11, 2023

Executing quantum applications with quantum error correction (QEC) faces the gate non-universality problem imposed by the Eastin-Knill theorem. As one resource-time-efficient solution, code switching changes the encoding of logical qubits to implemen...

Physics

Security framework for quantum key distribution with imperfect sources

Guillermo Currás-Lorenzo, Margarida Pereira, Go Kato +2 more·May 10, 2023

Imperfect bit-and-basis encoders compromise the security of quantum key distribution (QKD) systems via modulation flaws, side channels and inter-pulse correlations, which invalidate standard security proofs. Existing results addressing such imperfect...

Quantum Physics

Lifting Topological Codes: Three-Dimensional Subsystem Codes from Two-Dimensional Anyon Models

Jacob C. Bridgeman, Aleksander Kubica, M. Vasmer·May 10, 2023

Topological subsystem codes in three spatial dimensions allow for quantum error correction with no time overhead, even in the presence of measurement noise. The physical origins of this single-shot property remain elusive, in part due to the scarcity...

Physics

Parallel hybrid quantum-classical machine learning for kernelized time-series classification

J. Baker, Gilchan Park, Kwangmin Yu +3 more·May 10, 2023

Supervised time-series classification garners widespread interest because of its applicability throughout a broad application domain including finance, astronomy, biosensors, and many others. In this work, we tackle this problem with hybrid quantum-c...

Computer SciencePhysics

Phase diagram of the three-dimensional subsystem toric code

Yaodong Li, C. V. von Keyserlingk, Guanyu Zhu +1 more·May 10, 2023

Subsystem quantum error-correcting codes typically involve measuring a sequence of noncommuting parity check operators. They can sometimes exhibit greater fault tolerance than conventional codes, which use commuting checks. However, unlike subspace c...

Physics

Quantum Fourier Transform for Image Processing

Zenghui Zhang, Weibo Gao·May 10, 2023

Quantum information processing and its subfield, quantum image processing, are rapidly growing fields as a result of advancements in the practicality of quantum mechanics. In this paper, we propose a quantum algorithm for processing information, such...

PhysicsComputer Science

Private Product Computation Using Quantum Entanglement

R. B. Christensen, P. Popovski·May 10, 2023

In this article, we show that a pair of entangled qubits can be used to compute a product privately. More precisely, two participants with a private input from a finite field can perform local operations on a shared, Bell-like quantum state, and when...

Computer SciencePhysicsMathematics

Circuit locality from relativistic locality in scalar field mediated entanglement

Andrea Di Biagio, Richard Howl, Časlav Brukner +2 more·May 9, 2023

Locality is a central notion in modern physics, but different disciplines understand it in different ways. Quantum field theory focuses on relativistic locality, based on spacetime regions, while quantum information theory focuses circuit locality, b...

Quantum Physics

Architectural Vision for Quantum Computing in the Edge-Cloud Continuum

Alireza Furutanpey, Johanna Barzen, Marvin Bechtold +4 more·May 9, 2023

Quantum processing units (QPUs) are currently exclusively available from cloud vendors. However, with recent advancements, hosting QPUs will soon be possible everywhere. Existing work has yet to draw from research in edge computing to explore systems...

PhysicsComputer Science

Quantum Flow Algorithms for Simulating Many-Body Systems on Quantum Computers.

K. Kowalski, Nicholas P. Bauman·May 9, 2023

We conducted quantum simulations of strongly correlated systems using the quantum flow (QFlow) approach, which enables sampling large subspaces of the Hilbert space through coupled variational problems in reduced dimensionality active spaces. Our QFl...

MedicinePhysics

Quantum Approximate Optimization Algorithm with Cat Qubits

Pontus Vikstaal, Laura Garc'ia-'Alvarez, S. Puri +1 more·May 9, 2023

The Quantum Approximate Optimization Algorithm (QAOA) -- one of the leading algorithms for applications on intermediate-scale quantum processors -- is designed to provide approximate solutions to combinatorial optimization problems with shallow quant...

Physics

Quantum Machine Learning for Malware Classification

Gr'egoire Barru'e, Tony Quertier·May 9, 2023

In a context of malicious software detection, machine learning (ML) is widely used to generalize to new malware. However, it has been demonstrated that ML models can be fooled or may have generalization problems on malware that has never been seen. W...

Computer SciencePhysics
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