quant-ph papers | Gist.Science

Quantum physics explores the strange and often counterintuitive rules that govern the universe at its smallest scales. This field investigates how particles like electrons and photons behave in ways that defy our everyday intuition, forming the backbone of modern technologies from lasers to future quantum computers. While the mathematics can be daunting, the core ideas promise to revolutionize how we understand reality and process information.

At Gist.Science, we make these complex discoveries accessible to everyone. We systematically process every new preprint published in the Quant-Ph category on arXiv, transforming dense academic papers into clear, plain-language explanations alongside detailed technical summaries. Whether you are a seasoned researcher or a curious reader, our goal is to bridge the gap between cutting-edge theory and human understanding.

Below are the latest papers in quantum physics, distilled to help you grasp the newest breakthroughs without getting lost in the jargon.

Beyond Logical Circuits: Hardware-Aware Analysis of Expressibility and Trainability in Variational Quantum Algorithms

This paper demonstrates that hardware-aware transpilation significantly alters the expressibility and trainability of variational quantum algorithms compared to logical-level predictions, revealing that structural modifications during execution can disrupt the assumed expressibility-trainability trade-off and necessitate hardware-inclusive evaluation for accurate characterization.

Muhammad Kashif, Muhammad Shafique2026-05-26⚛️ quant-ph

Fermion renormalized vertex functions, effective mass, and condensate in an external Yang-Mills gauge field

This paper investigates the renormalized fermion-gluon vertex, effective mass, and condensate for fermions propagating in an external non-Abelian plane-wave Yang-Mills field by utilizing an exact Green's function in the axial gauge, with applications discussed for strong-field QCD and non-Abelian Schwinger physics.

V. V. Parazian2026-05-26⚛️ hep-th

Rethinking Expressibility-Trainability Trade-off in Hybrid Quantum Neural Networks

This paper challenges the assumed expressibility-trainability trade-off in hybrid quantum neural networks by demonstrating that classical components reshape the optimization landscape to decouple these metrics, thereby necessitating a multi-objective neural architecture search framework to optimize hybrid designs.

Muhammad Kashif, Muhammad Shafique2026-05-26⚛️ quant-ph

Boundary $0/\pi$ logical subspace and bulk dynamical probes in flux-controlled anomalous Floquet quantum walks

This paper proposes a flux-controlled anomalous Floquet quantum walk on a driven bipartite lattice that unifies the formation of a boundary logical subspace from coexisting 0 and $\pi$ edge modes with dynamic bulk probes capable of independently measuring topological winding numbers.

WeiCheng Ning, YanSheng Liu, XiaoXue Zhang, XiZheng Zhang2026-05-26⚛️ quant-ph

Sideband fingerprints of antibunched light in cascaded quantum wave mixing

This paper presents an analytical and numerical study demonstrating that in a cascaded source-probe geometry, the hierarchy of coherent side peaks in quantum wave mixing on a superconducting qubit becomes sensitive to the photon statistics of the source, effectively suppressing multiphoton absorption sidebands from antibunched light to create a distinct frequency-domain fingerprint.

R. D. Ivanovskikh, W. V. Pogosov, A. A. Elistratov, A. Yu. Dmitriev, T. R. Sabirov, A. V. Vasenin, S. A. Gunin, O. V. Astafiev2026-05-26🔬 physics.optics

Bargmann Zeros as a Diagnostic of the Tunneling Transition in Double-Well Quantum Systems

This paper demonstrates that the complex Bargmann zeros of eigenstates in symmetric double-well quantum systems condense onto the imaginary axis as the barrier height increases, providing a compact analytic diagnostic for the tunneling transition that correlates with the exponential collapse of energy splitting.

Tughanbulut Kurtulush, Maciej Janowicz2026-05-26⚛️ quant-ph

Implementation of distillation protocols using a recirculating bricks mesh network

This paper proposes utilizing a recirculating two-dimensional bricks waveguide mesh of Mach-Zehnder interferometers to implement quantum signal distillation protocols, demonstrating that this programmable photonic architecture can achieve complex transformations with reduced resource costs and optical depth compared to traditional feed-forward networks.

Jacek Gosciniak2026-05-26🔬 physics.optics

Native topological readout on qubit hardware: a Fibonacci-chain benchmark of measurement-compilation trade-offs

This paper benchmarks the trade-offs between native topological fusion readout and grouped-Pauli measurement strategies for Fibonacci anyon chains on NISQ hardware, revealing that the optimal method depends on the specific quantum circuit type (Floquet vs. VQE) and deriving scaling laws to guide shot-budget allocation for topological models on qubit platforms.

Babatunde Moses Ayeni2026-05-26⚛️ quant-ph

Unified Flux Control Architecture for Fluxonium Qubits

This paper demonstrates a scalable unified flux control architecture for fluxonium qubits that utilizes a single flux channel with cryogenic filtering and compensated waveform synthesis to simultaneously achieve high-fidelity transverse and longitudinal operations, active reset, and reduced hardware overhead while preserving coherence times above 100 $\mu$ s.

Xianchuang Pan, Jiahui Wang, Tao Zhou, Yanbo Guo, Fei Wang, Ze Zhan, Liang Xiang, Zishuo Li, Lu Ma, Xizheng Ma, Huijuan Zhan, Tao Zhang, Kannan Lu, Xing Zhu, Guicheng Gong, Chunqing Deng, Tenghui Wang2026-05-26⚛️ quant-ph

Training-Free Quantum Generative Paradigm via Local Parent Hamiltonians

This paper proposes a training-free quantum generative paradigm that constructs a local parent Hamiltonian to encode target distributions in its ground state, enabling image and text generation through quantum superposition and entanglement without the need for parameter training.

Shu Tian, Jiaqi Hu, Rebing Wu, Yu Shi2026-05-26⚛️ quant-ph

← Previous Next →

quant-ph