Quantum Brain

Papers

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

Total Papers

28,582

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299

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13,639 papers in 12 months (-16% vs prior quarter)

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Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

28,582 papers found

Niobium Air Bridges as Low-Loss Components for Superconducting Quantum Hardware

N. Bruckmoser, L. Koch, I. Tsitsilin +12 more·Mar 15, 2025

Scaling up superconducting quantum processors requires a high routing density for readout and control lines, relying on low-loss interconnects to maintain design flexibility and device performance. We propose and demonstrate a universal subtractive f...

Quantum Physics

Unified evolutionary optimization for high-fidelity spin qubit operations

Sam R. Katiraee-Far, Y. Matsumoto, B. Undseth +9 more·Mar 15, 2025

Developing optimal strategies to calibrate quantum processors for high-fidelity operation is one of the outstanding challenges in quantum computing today. Here, we demonstrate multiple examples of high-fidelity operations achieved using a unified glo...

Physics

Designing quantum error correction codes for practical spin qudit systems

Sumin Lim, A. Ardavan·Mar 15, 2025

The implementation of practical error correction protocols is essential for deployment of quantum information technologies. Ways of exploiting high-spin nuclei, which have multi-level quantum resources, have attracted interest in this context because...

Physics

Generalized Knill–Laflamme theorem for families of isoclinic subspaces

D. Kribs, Rajesh Pereira, Mukesh Taank·Mar 15, 2025

Abstract Isoclinic subspaces have been studied for over a century. Quantum error correcting codes were recently shown to define a subclass of families of isoclinic subspaces. The Knill–Laflamme theorem is a seminal result in the theory of quantum err...

PhysicsMathematics

A Comparative Study of Quantum Optimization Techniques for Solving Combinatorial Optimization Benchmark Problems

Monit Sharma, H. Lau·Mar 15, 2025

Quantum optimization holds promise for addressing classically intractable combinatorial problems, yet a standardized framework for benchmarking its performance, particularly in terms of solution quality, computational speed, and scalability is still ...

Physics

Single-step high-fidelity three-qubit gates by anisotropic chiral interactions

M. Nguyen, M. Rimbach-Russ, L. Vandersypen +1 more·Mar 15, 2025

Direct multi-qubit gates are becoming critical to facilitate quantum computations in near-term devices by reducing the gate counts and circuit depth. Here, we demonstrate that fast and high fidelity three-qubit gates can be realized in a single step ...

Physics

Quantum physics informed neural networks for multi-variable partial differential equations

Giorgio Panichi, Sebastiano Corli, Enrico Prati·Mar 15, 2025

Quantum Physics-Informed Neural Networks (QPINNs) integrate quantum computing and machine learning to impose physical biases on the output of a quantum neural network, aiming to either solve or discover differential equations. The approach has recent...

PhysicsMathematics

TetrisLock: Quantum Circuit Split Compilation with Interlocking Patterns

Qian Wang, Jayden John, Ben Dong +1 more·Mar 15, 2025

In quantum computing, quantum circuits are fundamental representations of quantum algorithms, which are compiled into executable functions for quantum solutions. Quantum compilers transform algorithmic quantum circuits into one compatible with target...

Computer SciencePhysics

Efficient Truncations of SU($N_c$) Lattice Gauge Theory for Quantum Simulation

Anthony N. Ciavarella, I. M. Burbano, Christian W. Bauer·Mar 14, 2025

Quantum simulations of lattice gauge theories offer the potential to directly study the non-perturbative dynamics of quantum chromodynamics, but naive analyses suggest that they require large computational resources. Large $N_c$ expansions are perfor...

hep-lathep-phQuantum Physics

Two-particle scattering on general graphs

Luna Lima Keller, Daniel Jost Brod·Mar 14, 2025

Quantum walks in general graphs, or more specifically scattering on graphs, encompass enough complexity to perform universal quantum computation. Any given quantum circuit can be broken down into single- and two-qubit gates, which can then be transla...

Quantum Physics

Near-Term Fermionic Simulation with Subspace Noise Tailored Quantum Error Mitigation

Miha Papič, Manuel G. Algaba, Emiliano Godinez-Ramirez +4 more·Mar 14, 2025

Quantum error mitigation (QEM) has emerged as a powerful tool for the extraction of useful quantum information from quantum devices. Here, we introduce the Subspace Noise Tailoring (SNT) algorithm, which efficiently combines the cheap cost of Symmetr...

Quantum Physicscond-mat.str-el

Ladder Operator Block-Encoding

William A. Simon, Carter M. Gustin, Kamil Serafin +3 more·Mar 14, 2025

We describe and analyze LOBE (Ladder Operator Block-Encoding), a framework for block-encoding ladder operators that act upon fermionic and bosonic modes. In this framework, we achieve efficient block-encodings by applying the desired action of the op...

Quantum Physics

Bridging wire and gate cutting with ZX-calculus

Marco Schumann, Tobias Stollenwerk, Alessandro Ciani·Mar 14, 2025

Quantum circuit cutting refers to a series of techniques that allow one to partition a quantum computation on a large quantum computer into several quantum computations on smaller devices. This usually comes at the price of a sampling overhead, that ...

Quantum Physics

Tesseract: A Search-Based Decoder for Quantum Error Correction

L. Beni, O. Higgott, N. Shutty·Mar 14, 2025

Tesseract is a Most-Likely Error decoder designed for low-density-parity-check quantum error-correcting codes. Tesseract conducts a search through a graph on the set of all subsets of errors to find the lowest cost subset of errors consistent with th...

Physics

Noise-strength-adapted approximate quantum codes inspired by machine learning

Shuwei Liu, Shiyu Zhou, Zi-Wen Liu +1 more·Mar 14, 2025

We demonstrate that machine learning provides a powerful tool for discovering new approximate quantum error-correcting (AQEC) codes beyond conventional algebraic frameworks. Building upon direct observations through hybrid quantum-classical learning,...

Physics

Chiral cat code: Enhanced error correction induced by higher-order nonlinearities

Adrià Labay-Mora, Alberto Mercurio, Vincenzo Savona +2 more·Mar 14, 2025

We introduce a Schr\"odinger chiral cat qubit, a novel bosonic quantum code generalizing Kerr cat qubits that exploits higher-order nonlinearities. Compared to a standard Kerr cat, the chiral cat qubit allows additional correction of bit-flip errors ...

Physics

Realizing a Continuous Set of Two-Qubit Gates Parameterized by an Idle Time

Colin Scarato, Kilian Hanke, A. Remm +6 more·Mar 14, 2025

Continuous gate sets are a key ingredient for near-term quantum algorithms. Here, we demonstrate a hardware-efficient, continuous set of controlled arbitrary-phase ($\mathrm{C}Z_{\theta}$) gates acting on flux-tunable transmon qubits. This implementa...

Physics

A Quantum Algorithm for the Classification of Patterns of Boolean Functions

T. Andronikos, C. Bitsakos, Konstantinos Nikas +2 more·Mar 14, 2025

This paper introduces a novel quantum algorithm that is able to classify a hierarchy of classes of imbalanced Boolean functions. The fundamental characteristic of imbalanced Boolean functions is that the proportion of elements in their domain that ta...

PhysicsComputer Science

Fault-tolerant logical state construction based on cavity-QED network

R. Asaoka, Yasunari Suzuki, Yuuki Tokunaga·Mar 14, 2025

Exploring an efficient and scalable architecture of fault-tolerant quantum computing (FTQC) is vital for demonstrating useful quantum computing. Here, we propose and evaluate a scalable and practical architecture with a cavity-quantum-electrodynamics...

Physics

On the Limits of Distributed Quantum Computing

Francesco d’Amore·Mar 14, 2025

Quantum advantage is well-established in centralized computing, where quantum algorithms can solve certain problems exponentially faster than classical ones. In the distributed setting, significant progress has been made in bandwidth-limited networks...

Computer SciencePhysics
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