Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Control of Multipartite Entanglement through Anisotropy against Thermal Noise
Samudra Sur, Saikat Sur·Feb 26, 2026
Preserving multipartite entanglement in open many-body quantum systems is fundamentally limited by unavoidable environmental noise. We study the open-system dynamics of multipartite entanglement in an anisotropic XXZ spin chain interacting with a the...
Generating entangled polaritonic condensates by pumping with entangled pairs of photons
N. A. Asriyan, A. A. Elistratov, A. V. Kavokin·Feb 26, 2026
We investigate the steady state of two single-mode uniform spatially separated polaritonic conden- sates exposed to resonant pumping with entangled pairs of photons. We demonstrate the principal possibility of driving the system to an entangled state...
Quantum squeezing in an all-resonant periodically poled lithium niobate microresonator
Xinyi Ren, Reshma Kopparapu, Tushar Sanjay Karnik +12 more·Feb 26, 2026
Quantum noise limits the sensitivity of optical measurements, but squeezed states of light enable quantum-enhanced metrology, sensing, and information processing. Most on-chip squeezed-light sources rely on Kerr ($χ^{(3)}$) nonlinearities, remain lim...
Ideal random quantum circuits pass the LXEB test
Nicholas Hunter-Jones, Jonas Haferkamp·Feb 26, 2026
We show that noiseless random quantum circuits pass the linear cross-entropy benchmark (LXEB) test with high probability. If the circuits are linear depth, and thus form unitary 4-designs, the LXEB test is passed with probability $1-O(1/\sqrt{k})$, w...
Loss-insensitive quantum noise reduction in a Raman amplifier with coherent feedback
Jianmin Wang, Rong Zhu, Z. Y. Ou·Feb 26, 2026
A quantum amplifier usually adds extra noise inevitably through coupling to internal degrees of freedom while amplifying the signal. The introduction of quantum correlations can effectively suppress this extra noise. In this work, we utilize the esta...
A field-biased HPZ master equation and its Markovian limit
M. Gabriela Boada G., Andrea Delgado, Jose Morales E·Feb 25, 2026
We present a first-principles derivation of a non-equilibrium quantum master equation for a continuously driven open quantum system interacting with a structured electromagnetic environment. Starting from a driven Caldeira-Leggett model in which an e...
Fundamental Limits on QBER and Distance in Quantum Key Distribution
Stefano Pirandola·Feb 25, 2026
Quantum key distribution (QKD) enables information-theoretic secure communication, yet its ultimate tolerance to noise and achievable transmission distance remain fundamentally constrained. We establish the maximum quantum bit error rate (QBER) compa...
Robustness-Runtime Tradeoff for Quantum State Transfer
Twesh Upadhyaya, Yifan Hong, T. C. Mooney +1 more·Feb 25, 2026
Quantum state transfer is the primitive of transporting an unknown state on one site of a lattice to another. Using power-law interactions, recent state transfer protocols achieve speedup by utilizing the intermediate ancilla sites. However, these pr...
Energy efficient optical tracking for space quantum communication
Eric Vokes, Vinod N. Rao, Elinore Spencer +1 more·Feb 25, 2026
Power consumption is a critical constraint for CubeSat based quantum communication, where tracking systems often dominate the onboard power budget. We demonstrate an energy-efficient approach that enables reliable satellite tracking at substantially ...
Quantum tomography for non-iid sources
Leonardo Zambrano·Feb 25, 2026
Quantum state and process tomography are typically analyzed under the assumption that devices emit independent and identically distributed (i.i.d.) states or channels. In realistic experiments, however, noise, drift, feedback, or adversarial behavior...
Noise-adaptive hybrid quantum convolutional neural networks based on depth-stratified feature extraction
Taehyun Kim, Israel F. Araujo, Daniel K. Park·Feb 25, 2026
Hierarchical quantum classifiers, such as quantum convolutional neural networks (QCNNs), represent recent progress toward designing effective and feasible architectures for quantum classification. However, their performance on near-term quantum hardw...
Prodiabatic Elimination: Higher Order Elimination of Fast Variables with Quantum Noise
Jan Neuser, Marcelo Janovitch, Matteo Brunelli +1 more·Feb 25, 2026
We introduce the prodiabatic elimination, a powerful approximation technique that systematically extends the adiabatic elimination of fast degrees of freedom in light-matter coupled systems. Through a controlled expansion of operators, the prodiabati...
Quantum Error Mitigation Simulates General Non-Hermitian Dynamics
Hiroki Kuji, Suguru Endo, Tetsuro Nikuni +2 more·Feb 25, 2026
While non-Hermitian Hamiltonians enable exotic dynamical phenomena, implementing their nonunitary time evolution on near-term quantum devices remains challenging. We propose a hardware-friendly protocol that simulates non-Hermitian dynamics without c...
Deep squeezing or cooling the fluctuations of a parametric resonator using feedback
Adriano A. Batista·Feb 25, 2026
Here we analyze ways to achieve deep subthreshold parametric squeezing or cooling of a single degree-of-freedom parametric resonator enhanced by a lock-in amplifier feedback loop. Due to the feedback, the dynamics of the parametric resonator becomes ...
Secret Key Rate Limits in Coexisting Classical-Quantum Optical Links
Lucas Alves Zischler, Amirhossein Ghazisaeidi, Antonio Mecozzi +1 more·Feb 25, 2026
Classical-quantum coexistence enables cost-effective transmission of data and quantum signals over the same fiber-optic channel. Nevertheless, weak quantum-key distribution (QKD) signals are susceptible to non-linear interference generated from the c...
Entanglement recovery by reversing the effect of noise in quantum repeater
Sewon Jeong, Shrobona Bagchi, Jaehak Lee +4 more·Feb 25, 2026
We propose a method to directly recover the degree of entanglement distributed by entanglement swapping in the presence of noise. Our approach introduces a reversing operation that probabilistically undoes the effect of amplitude damping or photon lo...
Performance Comparison of QAOA Mixers for Ternary Portfolio Optimization
Shintaro Yamamura, Satoshi Watanabe, Masaya Kunimi +2 more·Feb 25, 2026
The Quantum Approximate Optimization Algorithm (QAOA) is a quantum algorithm proposed for Noisy Intermediate-Scale Quantum (NISQ) devices and is regarded as a promising approach to combinatorial optimization problems, with potential applications in t...
Efficient time-series prediction on NISQ devices via time-delayed quantum extreme learning machine
Mio Kawanabe, Saud Cindrak, Kathy Luedge +3 more·Feb 25, 2026
We proposed a time-delayed quantum extreme learning machine (TD-QELM) for efficient time-series prediction on noisy intermediate-scale quantum (NISQ) devices. By encoding multiple past inputs simultaneously, TD-QELM achieves shallow circuit depth ind...
Coupling nitrogen vacancy centers in silicon carbide to nanophotonic resonators
Ivan Zhigulin, Konosuke Shimazaki, Samuel M. Stephens +5 more·Feb 25, 2026
Silicon carbide (SiC) is a promising platform for scalable quantum technologies owing to its well-established, wafer-scale industrial processing. SiC also hosts a variety of optically active color centres including the nitrogen vacancy defect that ha...
Passive Synchronization of Nonlocal Franson Interferometry for Fiber-Based Quantum Networks Using Co-propagating Classical Clock Signals
Xiao Xiang, Runai Quan, Yuting Liu +7 more·Feb 25, 2026
We demonstrate a robust, high-visibility nonlocal Franson interferometry for fiber-based quantum networks by co-propagating a classical Radio-over-Fiber clock signal with energy-time entangled photon pairs in the same fiber. Utilizing cross-band allo...