Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Simulating a quantum sensor: quantum state tomography of NV-spin systems
Alberto López-García, Aikaterini Vasilakou, Javier Cerrillo·Mar 3, 2026
We employ a quantum computer to simulate the effect of spin impurities on nitrogen-vacancy (NV) centers in diamond. As these defects operate as nanoscale quantum sensors, modeling quantum noise is crucial to identify limitations in precision. The ana...
Merged amplitude encoding for Chebyshev quantum Kolmogorov--Arnold networks: trading qubits for circuit executions
Hikaru Wakaura·Mar 3, 2026
Quantum Kolmogorov--Arnold networks based on Chebyshev polynomials (CCQKAN) evaluate each edge activation function as a quantum inner product, creating a trade-off between qubit count and the number of circuit executions per forward pass. We introduc...
Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion
Yoshiaki Kawase·Mar 3, 2026
While real quantum devices have been increasingly used to conduct research focused on achieving quantum advantage or quantum utility in recent years, executing deep quantum circuits or performing quantum machine learning with large-scale data on curr...
Qudit Designs and Where to Find Them
Namit Anand, Jeffrey Marshall, Jason Saied +2 more·Mar 3, 2026
Unitary t-designs are some of the most versatile tools in quantum information theory. Their applications range from randomized benchmarking and shadow tomography, to more fundamental ones such as emulating quantum chaos and establishing exponential s...
Rate-Fidelity Tradeoffs in All-Photonic and Memory-Equipped Quantum Switches
Panagiotis Promponas, Leonardo Bacciottini, Paul Polakos +3 more·Mar 3, 2026
Quantum entanglement switches are a key building block for early quantum networks, and a central design question is whether near-term devices should use only flying photons or also incorporate quantum memories. We compare two architectures: an all-ph...
Obstacles to Continuous Quantum Error Correction via Parity Measurements
Anton Halaski, Christiane P. Koch·Mar 2, 2026
Time-continuous quantum error correction, necessary to protect quantum information under time-dependent Hamiltonians, relies on weak continuous syndrome measurements. Implementing these measurements requires a continuous coupling among at least two q...
Quantum Scattering of Fullerene 12C60 with Rare Gas Atoms and its selection rules for rotational quenching
Alexander Petrov, Anna Linnik, Jacek Klos +2 more·Mar 2, 2026
The discovery of the C60 fullerene opened new horizons to design carbon nanostructures with targeted electronic structure as well as transport and optical properties. For example, endohedral 12C60 molecules were proposed as candidates for functional ...
Cavity-enhanced optical readout and control of nuclear spin qubits
Alexander Ulanowski, Johannes Früh, Fabian Salamon +2 more·Mar 2, 2026
Their exceptional coherence makes nuclear spins in solids a prime candidate for quantum memories in quantum networks and repeaters. Still, the direct all-optical initialization, coherent control, and readout of individual nuclear spin qubits have bee...
High-Performance Quantum Frequency Conversion from Ultraviolet to Telecom Band
Yi Yang, Bin Wang, Ji-Chao Lin +10 more·Mar 2, 2026
Quantum frequency conversion (QFC) is essential for bridging the spectral gap between stationary qubits and low-loss optical communication channels. In this work, we demonstrate a short-wavelength-pumping QFC with the first-order quasi-phase matching...
QuMeld: A Modular Framework for Benchmarking Qubit Mapping Algorithms
Gabrielius Keibas, Linas Petkevičius·Mar 2, 2026
The qubit mapping problem is a challenge in quantum computing that is related to mapping logical qubits to the physical ones on the quantum computer. Due to the diversity of quantum computer topologies and circuits, numerous approaches solving this p...
Efficient Learning Algorithms for Noisy Quantum State and Process Tomography
Chenyang Li, Shengxin Zhuang, Yukun Zhang +4 more·Mar 2, 2026
Efficiently characterizing large quantum states and processes is a central yet notoriously challenging task in quantum information science, as conventional tomography methods typically require resources that grow exponentially with system size. Here,...
Applicability and Limitations of Quantum Circuit Cutting in Classical State-Vector Simulation
Mitsuhiro Matsumoto, Shinichiro Sanji, Takahiko Satoh·Mar 2, 2026
Circuit cutting partitions a large quantum circuit into smaller subcircuits that can be executed independently and recombined by classical post-processing. In classical state-vector simulation with full-state reconstruction, the runtime is governed b...
A high-performance quantum memory for quantum interconnects
H. -X Luo, C. Li, J. -L. Ren +7 more·Mar 1, 2026
Single photons are the flying qubits of choice for distributing entanglement in a quantum internet. Quantum memories embedded in quantum repeaters are crucial to overcome transmission loss and enhance the rate of quantum communication. A multimode me...
Three-Qubit State Preparation: Classification and Explicit Circuits
Yonghae Lee, Taewan Kim·Mar 1, 2026
We present a deterministic framework for preparing an arbitrary three-qubit pure state. To leverage entanglement structure in the state-preparation task, we classify three-qubit pure states into five types with respect to a $1|2$ bipartition. Given a...
ReloQate: Transient Drift Detection and In-Situ Recalibration in Surface Code Quantum Error Correction
Maxwell Poster, Jason Chadwick, Jonathan Mark Baker·Feb 28, 2026
Quantum error correction (QEC) promises to exponentially suppress qubit noise, but typically assumes spatially-uniform and temporally-constant noise rates. However, real quantum hardware exhibits variation in noise levels over time, which will be amp...
Constrained Quantum Optimization at Utility Scale: Application to the Knapsack Problem
Naeimeh Mohseni, Julien-Pierre Houle, Ibrahim Shehzad +3 more·Feb 27, 2026
Constrained combinatorial optimization problems are challenging for quantum computing, particularly at utility-relevant scales and on near-term hardware. At the same time, these problems are of practical significance in industry; for example, the Uni...
Universal Nested Quantum Switch
Jorge Miguel-Ramiro, Maria Flors Mor-Ruiz, Wolfgang Dür·Feb 27, 2026
The quantum switch is a basic network primitive that allows one to connect multiple nodes in a quantum network via a central node. We show that the same functionality can be achieved with a different geometry that does not rely on a powerful and larg...
Stairway Codes: Floquetifying Bivariate Bicycle Codes and Beyond
Shoham Jacoby, Alex Retzker, Fernando Pastawski·Feb 27, 2026
Floquet codes define fault-tolerant protocols through periodic measurement sequences that drive a dynamically evolving stabilizer group. They provide a natural framework for hardware supporting two-qubit parity measurements but no unitary entangling ...
Comparing Classical and Quantum Variational Classifiers on the XOR Problem
Miras Seilkhan, Adilbek Taizhanov·Feb 27, 2026
Quantum machine learning applies principles such as superposition and entanglement to data processing and optimization. Variational quantum models operate on qubits in high-dimensional Hilbert spaces and provide an alternative approach to model expre...
Advanced Scheduling Strategies for Distributed Quantum Computing Jobs
Gongyu Ni, Davide Ferrari, Lester Ho +1 more·Feb 27, 2026
Distributed quantum computing (DQC) is being actively investigated as a means of scaling the number of qubits across multiple connected quantum devices. This includes quantum circuit compilation and execution management on multiple quantum devices in...