Quantum Brain

Papers

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

Total Papers

28,402

This Month

150

Today

0

Research Volume

13,524 papers in 12 months (-19% vs prior quarter)

Research Focus Areas

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

Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

5,311 papers found

Emulating multiparticle emitters with pair-sources: digital discovery of a quantum optics building block

Sören Arlt, Carlos Ruiz-Gonzalez, Mario Krenn·Oct 18, 2022

Linear quantum optics is advancing quickly, driven by sources of correlated photon pairs. Multi-photon sources beyond pairs would be a powerful resource, but are a difficult technology to implement. We have discovered a way in which we can combine mu...

Physics

Two convergent NPA-like hierarchies for the quantum bilocal scenario

Marc-Olivier Renou, Xiangling Xu, Laurens T. Ligthart·Oct 17, 2022

Characterising the correlations that arise from locally measuring a single part of a joint quantum system is one of the main problems of quantum information theory. The seminal work [M. Navascués et al., New J. Phys. 10, 073013 (2008)], known as the ...

Quantum PhysicsMathematical Physics

Realizing quantum gates with optically-addressable $^{171}$Yb$^{+}$ ion qudits

M. Aksenov, I. Zalivako, I. Semerikov +6 more·Oct 17, 2022

The use of multilevel information carriers, also known as qudits, is a promising path for exploring scalability of quantum computing devices. Here we present a proof-of-principle realization of a quantum processor register that uses optically-address...

Physics

A compiler for universal photonic quantum computers

F. Zilk, Korbinian Staudacher, T. Guggemos +3 more·Oct 17, 2022

Photons are a natural resource in quantum information, and the last decade showed significant progress in high-quality single photon generation and detection. Furthermore, photonic qubits are easy to manipulate and do not require particularly strongl...

Physics

TopGen: Topology-Aware Bottom-Up Generator for Variational Quantum Circuits

Jinglei Cheng, Hanrui Wang, Zhiding Liang +3 more·Oct 15, 2022

Variational Quantum Algorithms (VQA) are promising to demonstrate quantum advantages on near-term devices. Designing ansatz, a variational circuit with parameterized gates, is of paramount importance for VQA as it lays the foundation for parameter op...

Computer SciencePhysics

An ultra-high gain single-photon transistor in the microwave regime

Zhiling Wang, Zenghui Bao, Yan Li +9 more·Oct 15, 2022

A photonic transistor that can switch or amplify an optical signal with a single gate photon requires strong non-linear interaction at the single-photon level. Circuit quantum electrodynamics provides great flexibility to generate such an interaction...

PhysicsMedicine

Identification of quantum entanglement with Siamese convolutional neural networks and semisupervised learning

J. Pawłowski, Mateusz Krawczyk·Oct 13, 2022

Quantum entanglement is a fundamental property commonly used in various quantum information protocols and algorithms. Nonetheless, the problem of identifying entanglement has still not reached a general solution for systems larger than $2\times3$. In...

PhysicsComputer Science

Fully and partially distributed Quantum Generalized Benders Decomposition for Unit Commitment Problems

Fang Gao, Dejian Huang, Ziwei Zhao +3 more·Oct 13, 2022

A series of hybrid quantum-classical generalized Benders decomposition (GBD) algorithms are proposed to address unit commitment (UC) problems under centralized, distributed, and partially distributed frameworks. In the centralized approach, the quant...

Physics

Spectral kissing and its dynamical consequences in the squeeze-driven Kerr oscillator

J. Ch'avez-Carlos, Talía L. M. Lezama, R. Cortiñas +5 more·Oct 13, 2022

Transmon qubits are the predominant element in circuit-based quantum information processing, such as existing quantum computers, due to their controllability and ease of engineering implementation. But more than qubits, transmons are multilevel nonli...

MedicinePhysics

Fast gradient estimation for variational quantum algorithms

Lennart Bittel, Jens Watty, M. Kliesch·Oct 12, 2022

Many optimization methods for training variational quantum algorithms are based on estimating gradients of the cost function. Due to the statistical nature of quantum measurements, this estimation requires many circuit evaluations, which is a crucial...

Physics

Quantum walks on random lattices: Diffusion, localization, and the absence of parametric quantum speedup

Rostislav Duda, Moein N. Ivaki, I. Sahlberg +2 more·Oct 11, 2022

Discrete-time quantum walks, quantum generalizations of classical random walks, provide a framework for quantum information processing, quantum algorithms and quantum simulation of condensed matter systems. The key property of quantum walks, which li...

Physics

Speeding Up Entanglement Generation by Proximity to Higher-Order Exceptional Points.

Zeng-Zhao Li, Weijian Chen, M. Abbasi +2 more·Oct 10, 2022

Entanglement is a key resource for quantum information technologies ranging from quantum sensing to quantum computing. Conventionally, the entanglement between two coupled qubits is established at the timescale of the inverse of the coupling strength...

PhysicsMedicine

Privacy-Preserving Intelligent Resource Allocation for Federated Edge Learning in Quantum Internet

Minrui Xu, Dusist Niyato, Zhaohui Yang +4 more·Oct 9, 2022

Federated learning (FL) is an emerging technology for empowering various applications that generate large amounts of data in intelligent cyber-physical systems (ICPS). Though FL can address users' concerns about data privacy, its maintenance still de...

Computer ScienceEngineering

Benchmarking multi-qubit gates -- I: Metrological aspects

Bharath Hebbe Madhusudhana·Oct 9, 2022

Accurate and precise control of large quantum systems is paramount to achieve practical advantages on quantum devices. Therefore, benchmarking the hardware errors in quantum computers has drawn significant attention lately. Existing benchmarks for di...

Physics

Quantifying quantum causal influences

Lucas Hutter, R. Chaves, R. Nery +2 more·Oct 9, 2022

Causal influences are at the core of any empirical science, the reason why its quantification is of paramount relevance for the mathematical theory of causality and applications. Quantum correlations, however, challenge our notion of cause and effect...

Physics

Coulomb-mediated antibunching of an electron pair surfing on sound

Junliang Wang, Hermann Edlbauer, A. Richard +14 more·Oct 7, 2022

Electron flying qubits are envisioned as potential information links within a quantum computer, but also promise—like photonic approaches—to serve as self-standing quantum processing units. In contrast to their photonic counterparts, electron-quantum...

PhysicsMedicine

Scalable photonic integrated circuits for programmable control of atomic systems

A. Menssen, A. Hermans, Ian Christen +10 more·Oct 6, 2022

Advances in laser technology have driven discoveries in atomic, molecular, and optical (AMO) physics and emerging applications, from quantum computers with cold atoms or ions, to quantum networks with solid-state color centers. This progress is motiv...

Physics

Fault-Tolerant Coding for Entanglement-Assisted Communication

Paula Belzig, M. Christandl, Alexander Müller-Hermes·Oct 6, 2022

Channel capacities quantify the optimal rates of sending information reliably over noisy channels. Usually, the study of capacities assumes that the circuits which the sender and receiver use for encoding and decoding consist of perfectly noiseless g...

PhysicsComputer ScienceMathematics

No invariant perfect qubit codes

Refik Mansuroglu, H. Sahlmann·Oct 5, 2022

Perfect tensors describe highly entangled quantum states that have attracted particular attention in the fields of quantum information theory and quantum gravity. In loop quantum gravity, the natural question arises whether SU(2) invariant tensors, w...

PhysicsMathematics

Interpreting convolutional neural networks' low-dimensional approximation to quantum spin systems

Yilong Ju, S. Alam, Jonathan Minoff +3 more·Oct 3, 2022

Convolutional neural networks (CNNs) have been employed along with variational Monte Carlo methods for finding the ground state of quantum many-body spin systems with great success. However, it remains uncertain how CNNs, with a model complexity that...

Physics
Quantum Intelligence

Ask about quantum research, companies, or market developments.