Quantum Brain

Papers

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

Total Papers

28,188

This Month

0

Today

0

Research Volume

13,354 papers in 12 months (+7% vs prior quarter)

Research Focus Areas

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

Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

5,268 papers found

Generalization of Modular Spread Complexity for Non-Hermitian Density Matrices

Aneek Jana, Maitri Ganguli·Oct 7, 2024

In this work we generalize the concept of modular spread complexity to the cases where the reduced density matrix is non-Hermitian. This notion of complexity and associated Lanczos coefficients contain richer information than the pseudo-entropy, whic...

Physics

Positive Bias Makes Tensor-Network Contraction Tractable

Jiaqing Jiang, Jielun Chen, Norbert Schuch +1 more·Oct 7, 2024

Tensor network contraction is a powerful computational tool in quantum many-body physics, quantum information and quantum chemistry. The complexity of contracting a tensor network is thought to mainly depend on its entanglement properties, as reflect...

PhysicsComputer Science

Succinct Fermion Data Structures

Joseph Carolan, Luke Schaeffer·Oct 5, 2024

Simulating fermionic systems on a quantum computer requires representing fermionic states using qubits. The complexity of many simulation algorithms depends on the complexity of implementing rotations generated by fermionic creation-annihilation oper...

PhysicsComputer Science

Simulating Neutron Scattering on an Analog Quantum Processor

Nora M. Bauer, Victor Ale, P. Laurell +4 more·Oct 4, 2024

Neutron scattering characterization of materials allows for the study of entanglement and microscopic structure, but is inefficient to simulate classically for comparison to theoretical models and predictions. However, quantum processors, notably ana...

Physics

A variational quantum algorithm by Bayesian Inference with von Mises-Fisher distribution

Trung Huynh, G. An, Minsu Kim +2 more·Oct 4, 2024

The variational quantum eigensolver algorithm has gained attentions due to its capability of locating the ground state and ground energy of a Hamiltonian, which is a fundamental task in many physical and chemical problems. Although it has demonstrate...

Physics

Efficient self-consistent learning of gate set Pauli noise

Senrui Chen, Zhihan Zhang, Liang Jiang +1 more·Oct 4, 2024

Understanding quantum noise is an essential step towards building practical quantum information processing systems. Pauli noise is a useful model that has been widely applied in quantum benchmarking, error mitigation, and error correction. Despite in...

PhysicsMathematics

Variational Graphical Quantum Error Correction Codes

Yuguo Shao, Yong-chang Li, Fuchuan Wei +5 more·Oct 3, 2024

Quantum error correction is essential for achieving fault-tolerant quantum computation. However, most typical quantum error-correcting codes are designed for generic noise models, which may fail to accurately capture the intricate noise characteristi...

Physics

Competing automorphisms and disordered Floquet codes

Cory T. Aitchison, Benjamin B'eri·Oct 3, 2024

Topological order is a promising basis for quantum error correction, a key milestone towards large-scale quantum computing. Floquet codes provide a dynamical scheme for this while also exhibiting Floquet-enriched topological order where anyons period...

Physics

Qudit-based quantum error-correcting codes from irreducible representations of SU( d )

R. Uy, D. Gangloff·Oct 3, 2024

Qudits naturally correspond to multilevel quantum systems, which have the potential to enable more efficient quantum information processing, but their reliability is contingent upon quantum error-correction capabilities. In this paper, we present a g...

PhysicsMathematics

Decoherence of surface phonons in a quantum acoustic system

C. Undershute, Joseph M. Kitzman, C. Mikolas +1 more·Oct 3, 2024

Phononic resonators are becoming increasingly important in quantum information science, both for applications in quantum computing, communication and sensing, as well as in experiments investigating fundamental physics. Here, we study the decoherence...

Physics

Modular quantum-to-quantum Bernoulli factory in an integrated photonic processor

Francesco Hoch, Taira Giordani, Luca Castello +9 more·Oct 3, 2024

Generation and manipulation of randomness is a relevant task for several applications of information technology. It has been shown that quantum mechanics offers some advantages for this type of task. A promising model for randomness manipulation is p...

Physics

MQT Qudits: A Software Framework for Mixed-Dimensional Quantum Computing

Kevin Mato, M. Ringbauer, Lukas Burgholzer +1 more·Oct 3, 2024

Quantum computing holds great promise for surpassing the limits of classical devices in many fields. Despite impressive developments, however, current research is primarily focused on qubits. At the same time, quantum hardware based on multi-level, q...

Computer SciencePhysics

Informed Dynamic Scheduling for QLDPC Codes

Tzu-Hsuan Huang, Yeong-Luh Ueng·Oct 2, 2024

Recent research has shown that syndrome-based belief propagation using layered scheduling (sLBP) can not only accelerate the convergence rate but also improve the error rate performance by breaking the quantum trapping sets for quantum low-density pa...

Quantum Physics

Universal logical quantum photonic neural network processor via cavity-assisted interactions

J. Basani, M. Niu, E. Waks·Oct 2, 2024

Encoding quantum information within bosonic modes offers a promising direction for hardware-efficient and fault-tolerant quantum information processing. However, achieving high-fidelity universal control over bosonic encodings using native photonic h...

Computer SciencePhysics

Quantum-data-driven dynamical transition in quantum learning

Bingzhi Zhang, Junyu Liu, Liang Jiang +1 more·Oct 2, 2024

Quantum neural networks, parameterized quantum circuits optimized under a specific cost function, provide a paradigm for achieving near-term quantum advantage in quantum information processing. Understanding QNN training dynamics is crucial for optim...

PhysicsComputer Science

Quantum photonic gates with two-dimensional random walkers.

S. A. Hassani Gangaraj, Dan T. Nguyen·Oct 2, 2024

Quantum gates are crucial for processing quantum information, but implementing them in a photonic platform poses unique challenges due to the peculiar way photons propagate and interfere. Here, we propose quantum photonic gates that utilize continuou...

MedicinePhysics

Simple Construction of Qudit Floquet Codes on a Family of Lattices

Andrew Tanggara, Mile Gu, Kishor Bharti·Oct 2, 2024

Dynamical quantum error-correcting codes (QECC) offer wider possibilities in how one can protect logical quantum information from noise and perform fault-tolerant quantum computation compared to static QECCs. A family of dynamical QECCs called the ``...

Physics

QKD as a Quantum Machine Learning task

T. Decker, M. Gallezot, S. Kerstan +3 more·Oct 2, 2024

We propose considering Quantum Key Distribution (QKD) protocols as a use case for Quantum Machine Learning (QML) algorithms. We define and investigate the QML task of optimizing eavesdropping attacks on the quantum circuit implementation of the BB84 ...

Physics

Beating the Optimal Verification of Entangled States via Collective Strategies

Ye-Chao Liu, Jiangwei Shang·Oct 1, 2024

In the realm of quantum information processing, the efficient characterization of entangled states poses an overwhelming challenge, rendering the traditional methods including quantum tomography unfeasible and impractical. To tackle this problem, we ...

Quantum Physics

Monte Carlo Simulation of Operator Dynamics and Entanglement in Dual-Unitary Circuits

M. Song, Z. Zeng, Ting-Tung Wang +3 more·Oct 1, 2024

We investigate operator dynamics and entanglement growth in dual-unitary circuits, a class of locally scrambled quantum systems that enables efficient simulation beyond the exponential complexity of the Hilbert space. By mapping the operator evolutio...

Computer SciencePhysics
Quantum Intelligence

Ask about quantum research, companies, or market developments.