Papers
Information-Geometric Quantum Process Tomography of Single Qubit Systems
T. Koide, A. van de Venn·Mar 24, 2026
We establish an exact information-geometric inequality that remains valid regardless of the underlying dynamics, encompassing both Markovian and non-Markovian evolutions within the mixed-state domain. This inequality can be viewed as an extension of ...
Characterization and Comparison of Energy Relaxation in Fluxonium Qubits
Kate Azar, Lamia Ateshian, Mallika T. Randeria +19 more·Mar 24, 2026
Fluxonium superconducting qubits have demonstrated long coherence times and high single- and two-qubit gate fidelities, making them a favorable building block for superconducting quantum processors. We investigate the dominant limitations to fluxoniu...
Laser-induced creation of coherent V2 centers in bulk-grown silicon carbide
L. J. Feije, G. M. Timmer, Y. Hu +7 more·Mar 24, 2026
Solid-state spin defects are promising qubits for quantum network nodes. A key challenge towards larger networks is creating defects with high yield into nanophotonic devices, while maintaining good optical and spin properties. Here, we demonstrate t...
Scalable quantum circuit generation for iterative ground state approximation using Majorana Propagation
Rahul Chakraborty, Aaron Miller, Anton Nykänen +6 more·Mar 24, 2026
We introduce the Adaptive Derivative-Assembled Pseudo-Trotter ansatz Variational Majorana Propagation Eigensolver (ADAPT-VMPE), a quantum-inspired classical algorithm that exploits Majorana Propagation (MP) to produce circuits for approximating the g...
STAR-Magic Mutation: Even More Efficient Analog Rotation Gates for Early Fault-Tolerant Quantum Computer
Riki Toshio, Shota Kanasugi, Jun Fujisaki +3 more·Mar 24, 2026
We introduce STAR-magic mutation, an efficient protocol for implementing logical rotation gates on early fault-tolerant quantum computers. This protocol judiciously combines two of the latest state preparation protocols: transversal multi-rotation pr...
Encoded Quantum Signal Processing for Heisenberg-Limited Metrology
Carlos Ortiz Marrero, Rui Jie Tang, Nathan Wiebe·Mar 24, 2026
Entangled quantum probes can achieve Heisenberg-limited measurement precision, but this advantage is typically destroyed by noise. We address this issue by introducing a framework that we call encoded quantum signal processing, which unifies quantum ...
Enabling Chemically Accurate Quantum Phase Estimation in the Early Fault-Tolerant Regime
Shota Kanasugi, Riki Toshio, Kazunori Maruyama +1 more·Mar 24, 2026
Quantum simulation of molecular electronic structure is one of the most promising applications of quantum computing. However, achieving chemically accurate predictions for strongly correlated systems requires quantum phase estimation (QPE) on fault-t...
Preparing Fermions via Classical Sampling and Linear Combinations of Unitaries
Erik J. Gustafson, Henry Lamm·Mar 23, 2026
We present an extension of the Evolving density matrices on Qubits (E$ρ$OQ) framework that enables efficient fault-tolerant preparation of fermionic quantum states. The original method circumvents state preparation by stochastic sampling, but faces a...
Latent Style-based Quantum Wasserstein GAN for Drug Design
Julien Baglio, Yacine Haddad, Richard Polifka·Mar 23, 2026
The development of new drugs is a tedious, time-consuming, and expensive process, for which the average costs are estimated to be up to around $2.5 billion. The first step in this long process is the design of the new drug, for which de novo drug des...
Low Latency GNN Accelerator for Quantum Error Correction
Alessio Cicero, Luigi Altamura, Moritz Lange +2 more·Mar 23, 2026
Quantum computers have the potential to solve certain complex problems in a much more efficient way than classical computers. Nevertheless, current quantum computer implementations are limited by high physical error rates. This issue is addressed by ...
On the stability to noise of fermion-to-qubit mappings
Guillermo González-García, Filippo Maria Gambetta, Raul A. Santos·Mar 23, 2026
Quantum simulations before fault tolerance suffer from the intrinsic noise present in quantum computers. In this regime, extracting meaningful results greatly benefits from stability against that noise. This stability, defined as an error in observab...
Global Optimization for Parametrized Quantum Circuits
Iosif Sakos, Antonios Varvitsiotis, Georgios Korpas +1 more·Mar 23, 2026
In the absence of error correction, noisy intermediate-scale quantum devices are operated by training parametrized quantum circuits (PQCs) so as to minimize a suitable loss function. Finding the optimal parameters of those circuits is a hard optimiza...
Model selection in hybrid quantum neural networks with applications to quantum transformer architectures
Harsh Wadhwa, Rahul Bhowmick, Naipunnya Raj +3 more·Mar 23, 2026
Quantum machine learning models generally lack principled design guidelines, often requiring full resource-intensive training across numerous choices of encodings, quantum circuit designs and initialization strategies to find effective configuration....
Neural network approach to mitigating intra-gate crosstalk in superconducting CZ gates
Yiming Yu, Yexiong Zeng, Ye-Hong Chen +2 more·Mar 23, 2026
The potential of quantum computing is fundamentally constrained by the inherent susceptibility of qubits to noise and crosstalk, particularly during multi-qubit gate operations. Existing strategies, such as hardware isolation and dynamical decoupling...
Distilling the knowledge with quantum neural networks
Yuxuan Yan, Sitian Qian, Qi Zhao +1 more·Mar 23, 2026
Quantum Neural Networks (QNNs) are a promising class of quantum machine learning models with potential quantum advantages when implemented on scalable, error-corrected quantum computers. However, as system sizes increase, deploying QNNs becomes chall...
High-yield integration design of fixed-frequency superconducting qubit systems using siZZle-CZ gates
Kazuhisa Ogawa, Yutaka Tabuchi, Makoto Negoro·Mar 23, 2026
Fixed-frequency transmon qubits, characterized by simple architectures and long coherence times, are promising platforms for large-scale quantum computing. However, the rapidly increasing frequency collisions, which directly reduce the fabrication yi...
A Quantum Encoding of Traveling Salesperson Tours via Route Generation, Cost Phases, and a Valid-Permutation Oracle
Alexander Johannes Stasik, Franz Georg Fuchs·Mar 22, 2026
We present a compact quantum encoding of the Traveling Salesperson Problem (TSP) based on a time-register representation of tours. A candidate route is represented as a sequence of $n$ city labels over discrete time steps, with one fixed start city a...
Lie-algebraic incompleteness of symmetry-adapted VQE for non-Abelian molecular point groups
Leon D. da Silva, Marcelo P. Santos·Mar 22, 2026
Symmetry-adapted variational quantum eigensolvers (VQE) based on the Unitary Coupled-Cluster ansatz (SymUCCSD) effectively reduce the parameter count for Abelian molecular point groups, yet they systematically fail for non-Abelian groups without a fu...
Proposal for erasure conversion in integer fluxonium qubits
Jiakai Wang, Raymond A. Mencia, Vladimir E. Manucharyan +1 more·Mar 22, 2026
We propose an erasure conversion scheme on the $|e\rangle-|f\rangle$ and $|g\rangle-|f\rangle$ qubits in integer fluxonium qubits (IFQs), which are both first-order insensitive to $1/f$ flux noise. The $|e\rangle-|f\rangle$ transition is identical to...
QR-SPPS: Quantum-Native Retail Supply Chain Risk Simulation via VQE, ADAPT-VQE Counterfactual Policy Ranking, and DOS-QPE Boltzmann Tail Risk Quantification
Sumit Tapas Chongder·Mar 21, 2026
Classical supply chain risk models treat node failures as statistically independent events, systematically underestimating cascade probabilities when supplier dependencies are strongly correlated. At n=40 nodes, the full correlated failure distributi...