Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Low-Overhead Tailoring and Learning of Noise in Graph States
Guedong Park, Jinzhao Sun, Hyunseok Jeong·Mar 17, 2025
Graph and hypergraph states are important resource states for realizing universal quantum computation and diverse non-local physical phenomena. However, noise learning in such states is challenging due to their large entanglement and magic. This work...
Cycle-Aware ZZ Crosstalk Mitigation on Quantum Hardware
Jiayi Zhong, Yuxin Deng·Mar 17, 2025
ZZ crosstalk and decoherence hinder superconducting quantum computing. To enhance parallelism in mitigating ZZ crosstalk, we formulate the problem by integrating quantum cycles and two forms of qubit interference. We then propose CYCO, a CYcle-aware ...
Optimizing the frequency positioning of tunable couplers in a circuit QED processor to mitigate spectator effects on quantum operations
S. Vall'es-Sanclemente, T. H. F. Vroomans, T. R. V. Abswoude +8 more·Mar 17, 2025
We experimentally optimize the frequency of flux-tunable couplers in a superconducting quantum processor to minimize the impact of spectator transmons during quantum operations (single-qubit gates, two-qubit gates and readout) on other transmons. We ...
Enhancing Circuit Trainability with Selective Gate Activation Strategy
Jeihee Cho, Junyong Lee, Daniel Justice +1 more·Mar 17, 2025
Hybrid quantum-classical computing relies heavily on Variational Quantum Algorithms (VQAs) to tackle challenges in diverse fields like quantum chemistry and machine learning. However, VQAs face a critical limitation: the balance between circuit train...
Realization of fermionic Laughlin state on a quantum processor
L. Shen, Mao Lin, Cedric Yen-Yu Lin +2 more·Mar 17, 2025
Strongly correlated topological phases of matter are central to modern condensed matter physics and quantum information technology but often challenging to probe and control in material systems. The experimental difficulty of accessing these phases h...
Performance characterization of a multi-module quantum processor with static inter-chip couplers
G. Norris, Kieran Dalton, Dante Colao Zanuz +8 more·Mar 16, 2025
Three-dimensional integration technologies such as flip-chip bonding are a key prerequisite to realize large-scale superconducting quantum processors. Modular architectures, in which circuit elements are spread over multiple chips, can further im...
Robust Lindbladian Tomography for Cyclic Quantum Gates
T. Sugiyama·Mar 16, 2025
Precise characterization of noisy quantum operations plays an important role for realizing further accurate operations. Quantum tomography is a popular class of characterization methods, and several advanced methods in the class use error amplificati...
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 ...
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...
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...
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...
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 ...
Scaling the Automated Discovery of Quantum Circuits via Reinforcement Learning with Gadgets
J. Olle, O. Yevtushenko, Florian Marquardt·Mar 14, 2025
Reinforcement Learning (RL) has established itself as a powerful tool for designing quantum circuits, which are essential for processing quantum information. RL applications have typically focused on circuits of small to intermediate complexity, as c...
Scaffold-Assisted Window Junctions for Superconducting Qubit Fabrication
Chung-Ting Ke, J. Tsai, Yen-Chun Chen +13 more·Mar 14, 2025
The superconducting qubit is one of the promising directions in realizing fault-tolerant quantum computing (FTQC), which requires many high-quality qubits. To achieve this, it is desirable to leverage modern semiconductor industry technology to ensur...
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...
Distilled remote entanglement between superconducting qubits across optical channels
Nicolas Dirnegger, Moein Malekakhlagh, Vikesh Siddhu +5 more·Mar 13, 2025
A promising quantum computing architecture comprises modules of superconducting quantum processors linked via optical channels using quantum transducers. As quantum transducer hardware improves, a need has arisen to understand the quantitative relati...
Quantum-Chiplet: A Novel Python-Based Efficient and Scalable Design Methodology for Quantum Circuit Verification and Implementation
Yu-Ting Kao, Hao-Yu Lu, Yeong-Jar Chang +1 more·Mar 13, 2025
Analysis and verification of quantum circuits are highly challenging, given the exponential dependence of the number of states on the number of qubits. For analytical derivation, we propose a new quantum polynomial representation (QPR) to facilitate ...
Fast Sideband Control of a Weakly Coupled Multimode Bosonic Memory
Jordan Huang, Thomas J. DiNapoli, Gavin Rockwood +9 more·Mar 13, 2025
Circuit quantum electrodynamics (cQED) with superconducting cavities coupled to nonlinear circuits like transmons offers a promising platform for hardware-efficient quantum information processing. We address critical challenges in realizing this arch...
Bias-preserving and error-detectable entangling operations in a superconducting dual-rail system
Nitish Mehta, James D. Teoh, Taewan Noh +70 more·Mar 13, 2025
For useful quantum computation, error-corrected machines are required that can dramatically reduce the inevitable errors experienced by physical qubits. While significant progress has been made in approaching and exceeding the surface-code threshold ...
A useful metric for the NISQ era: Qubit error probability and its role in zero noise extrapolation
Nahual Sobrino, Unai Aseginolaza, J. Jornet-Somoza +1 more·Mar 13, 2025
Accurate assessment and management of errors is indispensable for extracting useful results from noisy intermediate-scale quantum devices. In this work, we propose the qubit error probability (QEP), a device specific metric that combines relaxation, ...