Quantum Brain

Papers

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

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12,600 papers in 12 months (-14% vs prior quarter)

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Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

4,028 papers found

Transversal gates for quantum CSS codes

Eduardo Camps-Moreno, Hiram H. López, Gretchen L. Matthews +2 more·Jan 29, 2026

In this paper, we focus on the problem of computing the set of diagonal transversal gates fixing a CSS code. We determine the logical actions of the gates as well as the groups of transversal gates that induce non-trivial logical gates and logical id...

cs.ITQuantum Physics

Quantum steering as a probe of energy transfer in quantum batteries

Meng-Long Song, Zan Cao, Xue-Ke Song +2 more·Jan 29, 2026

This study investigates the role of EPR steering in characterizing the energy dynamics of quantum batteries (QBs) within \textcolor{black}{a charging system that features shared reservoirs. After optimizing parameter configurations to achieve high-en...

Quantum Physics

Universal Topological Gates from Braiding and Fusing Anyons on Quantum Hardware

Chiu Fan Bowen Lo, Anasuya Lyons, Dan Gresh +8 more·Jan 28, 2026

Topological quantum computation encodes quantum information in the internal fusion space of non-Abelian anyonic quasiparticles, whose braiding implements logical gates. This goes beyond Abelian topological order (TO) such as the toric code, as its an...

Quantum Physicscond-mat.str-el

Entangling logical qubits without physical operations

Jin Ming Koh, Anqi Gong, Andrei C. Diaconu +6 more·Jan 28, 2026

Fault-tolerant logical entangling gates are essential for scalable quantum computing, but are limited by the error rates and overheads of physical two-qubit gates and measurements. To address this limitation, we introduce phantom codes-quantum error-...

Quantum Physics

Entangled photon pair excitation and time-frequency filtered multidimensional photon correlation spectroscopy as a probe for dissipative exciton kinetics

Arunangshu Debnath, Shaul Mukamel·Jan 28, 2026

In molecular aggregates, multiple delocalized exciton states interact with phonons, making the state-resolved spectroscopic monitoring of dynamics challenging. We propose a protocol that combines photon-entanglement-enhanced narrowband excitation of ...

Quantum Physics

Echo Cross Resonance gate error budgeting on a superconducting quantum processor

Travers Ward, Russell P. Rundle, Richard Bounds +9 more·Jan 28, 2026

High fidelity quantum operations are key to enabling fault-tolerant quantum computation. Superconducting quantum processors have demonstrated high-fidelity operations, but on larger devices there is commonly a broad distribution of qualities, with th...

Quantum Physics

Network Nonlocality Sharing in Generalized Star Network from Bipartite Bell Inequalities

Hao-Miao Jiang, Xiang-Jiang Chen, Liu-Jun Wang +1 more·Jan 28, 2026

This work investigates network nonlocality sharing for a broad class of bipartite Bell inequalities in a generalized star network with an $(n,m,k)$ configuration, comprising $n$ independent branches, $m$ sequential Alices per branch, and $k$ measurem...

Quantum Physics

Ensemble-Based Quantum Signal Processing for Error Mitigation

Suying Liu, Yulong Dong, Dong An +1 more·Jan 27, 2026

Despite rapid advances in quantum hardware, noise remains a central obstacle to deploying quantum algorithms on near-term devices. In particular, random coherent errors that accumulate during circuit execution constitute a dominant and fundamentally ...

Quantum Physics

Quantum Channels on Graphs: a Resonant Tunneling Perspective

Giuseppe Catalano, Farzad Kianvash, Vittorio Giovannetti·Jan 27, 2026

Quantum transport on structured networks is strongly influenced by interference effects, which can dramatically modify how information propagates through a system. We develop a quantum-information-theoretic framework for scattering on graphs in which...

Quantum Physics

A Folded Surface Code Architecture for 2D Quantum Hardware

Zhu Sun, Zhenyu Cai·Jan 27, 2026

Qubit shuttling has become an indispensable ingredient for scaling leading quantum computing platforms, including semiconductor spin, neutral-atom, and trapped-ion qubits, enabling both crosstalk reduction and tighter integration of control hardware....

Quantum Physics

Quantum Circuit Pre-Synthesis: Learning Local Edits to Reduce $T$-count

Daniele Lizzio Bosco, Lukasz Cincio, Giuseppe Serra +1 more·Jan 27, 2026

Compiling quantum circuits into Clifford+$T$ gates is a central task for fault-tolerant quantum computing using stabilizer codes. In the near term, $T$ gates will dominate the cost of fault tolerant implementations, and any reduction in the number of...

Quantum PhysicsAIcs.LG

Transversal gates of the ((3,3,2)) qutrit code and local symmetries of the absolutely maximally entangled state of four qutrits

Ian Tan·Jan 27, 2026

We provide a proof that there exists a bijection between local unitary (LU) orbits of absolutely maximally entangled (AME) states in $(\mathbb{C}^D)^{\otimes n}$ where $n$ is even, also known as perfect tensors, and LU orbits of $((n-1,D,n/2))_D$ qua...

Quantum Physics

Reinforcement Learning for Enhanced Advanced QEC Architecture Decoding

Yidong Zhou, Lingyi Kong, Yifeng Peng +1 more·Jan 27, 2026

The advent of promising quantum error correction (QEC) codes with efficient resource utilization and high-performance fault-tolerant quantum memories signifies a critical step towards realizing practical quantum computation. While surface codes have ...

Quantum Physics

Analytical construction of $(n, n-1)$ quantum random access codes saturating the conjectured bound

Takayuki Suzuki·Jan 27, 2026

Quantum Random Access Codes (QRACs) embody the fundamental trade-off between the compressibility of information into limited quantum resources and the accessibility of that information, serving as a cornerstone of quantum communication and computatio...

Quantum Physics

When Does Adaptation Win? Scaling Laws for Meta-Learning in Quantum Control

Nima Leclerc, Chris Miller, Nicholas Brawand·Jan 26, 2026

Quantum hardware suffers from intrinsic device heterogeneity and environmental drift, forcing practitioners to choose between suboptimal non-adaptive controllers or costly per-device recalibration. We derive a scaling law lower bound for meta-learnin...

cs.LGAIeess.SYQuantum Physics

Reinforcement Learning for Quantum Technology

Marin Bukov, Florian Marquardt·Jan 26, 2026

Many challenges arising in Quantum Technology can be successfully addressed using a set of machine learning algorithms collectively known as reinforcement learning (RL), based on adaptive decision-making through interaction with the quantum device. A...

Quantum Physicscond-mat.quant-gascond-mat.stat-mechAI

Multivariate Multicycle Codes for Complete Single-Shot Decoding

Feroz Ahmed Mian, Owen Gwilliam, Stefan Krastanov·Jan 26, 2026

We introduce multivariate multicycle (MM) codes, a new family of quantum error correcting codes that unifies and generalizes bivariate bicycle codes, multivariate bicycle codes, abelian two-block group algebra codes, generalized bicycle codes, trivar...

Quantum Physicscs.IT

Data-Driven Qubit Characterization and Optimal Control using Deep Learning

Paul Surrey, Julian D. Teske, Tobias Hangleiter +2 more·Jan 26, 2026

Quantum computing requires the optimization of control pulses to achieve high-fidelity quantum gates. We propose a machine learning-based protocol to address the challenges of evaluating gradients and modeling complex system dynamics. By training a r...

Quantum Physicscs.LG

An Adaptive Purification Controller for Quantum Networks: Dynamic Protocol Selection and Multipartite Distillation

Pranav Kulkarni, Leo Sünkel, Michael Kölle·Jan 26, 2026

Efficient entanglement distribution is a cornerstone of the Quantum Internet. However, physical link parameters such as photon loss, memory coherence time, and gate error rates fluctuate dynamically, rendering static purification strategies suboptima...

Quantum Physicscs.DC

Quantum Recurrent Unit: A Parameter-Efficient Quantum Neural Network Architecture for NISQ Devices

Tzong-Daw Wu, Hsi-Sheng Goan·Jan 26, 2026

The rapid growth of modern machine learning (ML) models presents fundamental challenges in parameter efficiency and computational resource requirements. This study introduces the Quantum Recurrent Unit (QRU), a novel quantum neural network (NN) archi...

Quantum Physics
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