Quantum Brain

Papers

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

Total Papers

27,881

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1,306

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Research Volume

13,127 papers in 12 months (+1% vs prior quarter)

Research Focus Areas

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

Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

2,477 papers found

Reminiscence of Classical Chaos in Driven Transmons

Joachim Cohen, A. Petrescu, R. Shillito +1 more·Jul 19, 2022

Transmon qubits are ubiquitously used in superconducting quantum information processor architectures. Strong drives are required to realize fast, high-fidelity, gates and measurements, including parametrically activated processes. Here, we show that ...

Physics

Comparative Benchmark of a Quantum Algorithm for the Bin Packing Problem

Mikel Garcia de Andoin, I. Oregi, Esther Villar-Rodriguez +2 more·Jul 15, 2022

The Bin Packing Problem (BPP) stands out as a paradigmatic combinatorial optimization problem in logistics. Quantum and hybrid quantum-classical algorithms are expected to show an advantage over their classical counterparts in obtaining approximate s...

PhysicsComputer Science

Quantum Data Reduction with Application to Video Classification

Kostas Blekos, D. Kosmopoulos·Jul 13, 2022

We investigate a quantum data reduction technique with application to video classification. A hybrid quantum-classical step performs data reduction on the video dataset generating “representative” distributions for each video class. These distributio...

Computer SciencePhysics

Distributed Shor's algorithm

Li Xiao, Daowen Qiu, Leon Luo +1 more·Jul 13, 2022

Shor's algorithm is one of the most important quantum algorithm proposed by Peter Shor [Proceedings of the 35th Annual Symposium on Foundations of Computer Science, 1994, pp. 124--134]. Shor's algorithm can factor a large integer with certain probabi...

Computer SciencePhysics

Multi-Objective Evolutionary Architecture Search for Parameterized Quantum Circuits

Lidong Ding, L. Spector·Jul 9, 2022

Recent advancements in quantum computing have shown promising computational advantages in many problem areas. As one of those areas with increasing attention, hybrid quantum-classical machine learning systems have demonstrated the capability to solve...

Computer ScienceMedicinePhysics

Hybrid quantum-classical algorithms in the noisy intermediate-scale quantum era and beyond

A. Callison, N. Chancellor·Jul 8, 2022

Hybrid quantum-classical algorithms are central to much of the current research in quantum computing, particularly when considering the noisy intermediate-scale quantum (NISQ) era, with a number of experimental demonstrations having already been perf...

Physics

Unitary partitioning and the contextual subspace variational quantum eigensolver

Alexis Ralli, Tim Weaving, A. Tranter +3 more·Jul 7, 2022

The contextual subspace variational quantum eigensolver (CS-VQE) is a hybrid quantum-classical algorithm that approximates the ground-state energy of a given qubit Hamiltonian. It achieves this by separating the Hamiltonian into contextual and noncon...

Physics

Quantum Computing for Rotating, Charged and String Theory Black Holes

V. Chandra, M. McGuigan·Jul 7, 2022

The quantum mechanics of Rotating, Charged, de Sitter and String Theory black holes are of recent interest because of their peculiar thermodynamic properties, as well the mysterious nature of their microstates. A full quantum treatment of the operato...

Physics

Entanglement structure in the volume-law phase of hybrid quantum automaton circuits

Yi-Fan Han, Xiao Chen·Jul 5, 2022

We study entanglement fluctuations and quantum error correction in the weakly monitored volume-law phase of quantum automaton circuits subject to repeated local measurements. We numerically observe that the entanglement entropy exhibits strong fluctuat...

Physics

Distributed Quantum Computing with Photons and Atomic Memories

E. Oh, Xuanying Lai, J. Wen +1 more·Jul 5, 2022

The promise of universal quantum computing requires scalable single‐ and inter‐qubit control interactions. Currently, three of the leading candidate platforms for quantum computing are based on superconducting circuits, trapped ions, and neutral atom...

Physics

Reproducibility and control of superconducting flux qubits

T. Chang, I. Holzman, T. Cohen +3 more·Jul 4, 2022

Superconducting flux qubits are promising candidates for the physical realization of a scalable quantum processor. Indeed, these circuits may have both a small decoherence rate and a large anharmonicity. These properties enable the application of fas...

Physics

Quantum Computation for Pricing Caps using the LIBOR Market Model

Hao Tang, Wensheng Wu, Xian-min Jin·Jul 4, 2022

The LIBOR Market Model (LMM) is a widely used model for pricing interest rate derivatives. While the Black-Scholes model is well-known for pricing stock derivatives such as stock options, a larger portion of derivatives are based on interest rates in...

PhysicsEconomics

ScaleQC: A Scalable Framework for Hybrid Computation on Quantum and Classical Processors

Wei Tang, M. Martonosi·Jul 3, 2022

Quantum processing unit (QPU) has to satisfy highly demanding quantity and quality requirements on its qubits to produce accurate results for problems at useful scales. Fur-thermore, classical simulations of quantum circuits generally do not scale. I...

Computer SciencePhysics

Evaluating the Q-score of Quantum Annealers

Ward van der Schoot, D. Leermakers, R. Wezeman +2 more·Jul 1, 2022

We report the Atos Q-score for D-Wave’s quantum devices, classical algorithms and hybrid quantum-classical solver. Computing the Q-score entails solving the Max-Cut problem for increasingly large graphs. This work presents the first computation of th...

Computer SciencePhysics

Automatic Depth Optimization for Quantum Approximate Optimization Algorithm

Y. Pan, Yi-Xiang Tong, Yi Yang·Jun 29, 2022

Quantum Approximate Optimization Algorithm (QAOA) is a hybrid algorithm whose control parameters are classically optimized. In addition to the variational parameters, the right choice of hyperparameter is crucial for improving the performance of any ...

Physics

Optimization of Sensor-Placement on Vehicles using Quantum-Classical Hybrid Methods

Sayantani Pramanik, Vishnu Vaidya, Gajendra Malviya +6 more·Jun 29, 2022

The paper presents a quantum method to optimize the placement of sensors on the surface of a vehicle. The problem, as posted in the BMW Quantum Computing Challenge 2021, is to arrive at the optimal positions and configurations (type and orientation) ...

Computer SciencePhysics

Towards Turing-Complete Quantum Computing Coming From Classical Assembler

Thomas Gabor, M. Rosenfeld, Claudia Linnhoff-Popien·Jun 28, 2022

—Instead of producing quantum languages that are fit for current quantum computers, we build a language from standard classical assembler and augment it with quantum capabilities so that quantum algorithms become a subset of it. This paves the way for...

Physics

Tripartite high-dimensional magnon-photon entanglement in PT -symmetry broken phases of a non-Hermitian hybrid system

Jin-Xuan Han, Jinling Wang, Yan Xia +2 more·Jun 26, 2022

Hybrid systems that combine spin ensembles and superconducting circuits provide a promising platform for implementing quantum information processing. We propose a non-Hermitian magnon-circuit-QED hybrid model consisting of two cavities and an yttrium...

Physics

Advancing hybrid quantum–classical computation with real-time execution

Thomas Lubinski, Cassandra Granade, Amos G. Anderson +4 more·Jun 26, 2022

The use of mid-circuit measurement and qubit reset within quantum programs has been introduced recently and several applications demonstrated that perform conditional branching based on these measurements. In this work, we go a step further and descr...

Computer SciencePhysics

Exploring ab initio machine synthesis of quantum circuits

Richard Meister, Cica Gustiani, S. Benjamin·Jun 22, 2022

Gate-level quantum circuits are often derived manually from higher level algorithms. While this suffices for small implementations and demonstrations, ultimately automatic circuit design will be required to realise complex algorithms using hardware-s...

Physics
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