Quantum computer
View article: Machine Learning-Accelerated Quantum State Tomography for High-Dimensional Systems
Machine Learning-Accelerated Quantum State Tomography for High-Dimensional Systems Open
The characterization of large-scale quantum systems is a critical bottleneck in the development of quantum technologies. Standard quantum state tomography (QST) suffers from the curse of dimensionality, requiring resources that scale expon…
View article: Numerical solution of nonlinear diffusion-reaction in porous catalysts using quantum spectral successive linearization method
Numerical solution of nonlinear diffusion-reaction in porous catalysts using quantum spectral successive linearization method Open
Significant advances in quantum computing science have been achieved through the development of general-purpose quantum solvers for linear differential equations in several studies. This study employs a hybrid quantum-spectral approach to …
View article: Quantum time-marching algorithms for solving linear transport problems including boundary conditions
Quantum time-marching algorithms for solving linear transport problems including boundary conditions Open
This data belongs to the article, which presents the first complete application of a quantum time-marching algorithm for simulating multidimensional linear transport phenomena with arbitrary boundaries, whereby the success probabilities ar…
View article: Quantum time-marching algorithms for solving linear transport problems including boundary conditions
Quantum time-marching algorithms for solving linear transport problems including boundary conditions Open
This data belongs to the article, which presents the first complete application of a quantum time-marching algorithm for simulating multidimensional linear transport phenomena with arbitrary boundaries, whereby the success probabilities ar…
View article: Quantum AI in Speech Emotion Recognition
Quantum AI in Speech Emotion Recognition Open
We evaluate a hybrid quantum–classical pipeline for speech emotion recognition (SER) on a custom Afrikaans corpus using MFCC-based spectral features with pitch and energy variants, explicitly comparing three quantum approaches—a variationa…
View article: Numerical Artifacts of the Computational Universe: Detecting Planck-Scale Truncation Errors and Anisotropy in Physical Experiments
Numerical Artifacts of the Computational Universe: Detecting Planck-Scale Truncation Errors and Anisotropy in Physical Experiments Open
If the universe is a dynamical system realized by underlying discrete computational processes, then finite memory, finite clock frequency and finite numerical precision must leave extremely weak but in-principle detectable ``numerical arti…
View article: Integrated emitters with CMOS-compatible tuning for large scale quantum SiN photonic circuits
Integrated emitters with CMOS-compatible tuning for large scale quantum SiN photonic circuits Open
Next-generation scalable quantum photonic technologies operating at the single photon level rely on bringing together optimized quantum building blocks with minimal optical coupling losses. Achieving this necessitates the heterogeneous int…
View article: The effects of decoherence on Fermi's golden rule
The effects of decoherence on Fermi's golden rule Open
Fermi's golden rule which describes the transition rates between two electronic levels under external stimulations is used ubiquitously in different fields of physics. The original Fermi's golden rule was derived from perturbative time-dep…
View article: Quantum sequel of neural network training
Quantum sequel of neural network training Open
Training of neural networks (NNs) has emerged as a major consumer of both computational and energy resources. Quantum computers were coined as a root to facilitate training, but no experimental evidence has been presented so far. Here we d…
View article: On the Advocacy of π-Arithmetic: A Curvature-Intrinsic Framework for Finite-Depth Representation and Phase-Centric Computation
On the Advocacy of π-Arithmetic: A Curvature-Intrinsic Framework for Finite-Depth Representation and Phase-Centric Computation Open
This preprint introduces π-arithmetic, a curvature–intrinsic numeral system in which many geometric and physical constants involving π acquire finite-depth, terminating expansions. In linear bases such as 10 or 2, curvature-native quantiti…
View article: Generalized Heralded Generation of Non-Gaussian States Using an Optical Parametric Amplifier
Generalized Heralded Generation of Non-Gaussian States Using an Optical Parametric Amplifier Open
The heralded optical parametric amplifier (OPA) has emerged as a promising tool for quantum state engineering. However, its potential has been limited to coherent state inputs. Here, we introduce a generalized heralded OPA protocol that un…
View article: Experimental Efficient Source-Independent Quantum Conference Key Agreement
Experimental Efficient Source-Independent Quantum Conference Key Agreement Open
View article: FPGA-tailored algorithms for real-time decoding of quantum LDPC codes
FPGA-tailored algorithms for real-time decoding of quantum LDPC codes Open
Real-time decoding is crucial for fault-tolerant quantum computing but likely requires specialized hardware such as field-programmable gate arrays (FPGAs), whose parallelism can alter relative algorithmic performance. We analyze FPGA-tailo…
View article: QuFeX: Quantum Feature Extraction module for hybrid quantum-classical deep neural networks
QuFeX: Quantum Feature Extraction module for hybrid quantum-classical deep neural networks Open
We introduce Quantum Feature Extraction (QuFeX), a novel quantum machine learning module. The proposed module enables feature extraction in a reduced-dimensional space, significantly decreasing the number of parallel evaluations required i…
View article: Fault-tolerant quantum computation with polylogarithmic time and constant space overheads
Fault-tolerant quantum computation with polylogarithmic time and constant space overheads Open
A major challenge in fault-tolerant quantum computation is to reduce both the space overhead, that is, the large number of physical qubits per logical qubit, and the time overhead, that is, the long physical gate sequences needed to implem…
View article: Quantum Future-Trial Computing (QFTC): A Reversible Time-Geometry Framework for Superclassical Computation
Quantum Future-Trial Computing (QFTC): A Reversible Time-Geometry Framework for Superclassical Computation Open
This paper introduces Quantum Future-Trial Computing (QFTC), a new computational paradigm that extends standard quantum computation by exploiting reversible geometric time-evolution. QFTC enables a quantum processor to explore multiple fut…
View article: New Frontiers in Continuous-Variable Quantum Systems
New Frontiers in Continuous-Variable Quantum Systems Open
View article: Codebase for: Scaling of a Mutual-Information Distance in 1D Quantum Spin Chains
Codebase for: Scaling of a Mutual-Information Distance in 1D Quantum Spin Chains Open
View article: Phase Estimation with Compressed Controlled Time Evolution
Phase Estimation with Compressed Controlled Time Evolution Open
Many optimally scaling quantum simulation algorithms employ controlled time evolution of the Hamiltonian, which is typically the major bottleneck for their efficient implementation. This work establishes a compression protocol for encoding…
View article: A hybrid hash framework for post quantum secure zero knowledge identification
A hybrid hash framework for post quantum secure zero knowledge identification Open
View article: Error-mitigated quantum metrology via enhanced virtual purification
Error-mitigated quantum metrology via enhanced virtual purification Open
Quantum metrology stands as a leading application of quantum science and technology, yet noise often constrains its precision and sensitivity. In near-term quantum metrology, existing protocols largely depend on virtual state purification,…
View article: Mirror subspace diagonalization: a quantum Krylov algorithm with near-optimal sampling cost
Mirror subspace diagonalization: a quantum Krylov algorithm with near-optimal sampling cost Open
Quantum Krylov algorithms have emerged as a promising approach for ground-state energy estimation in the near-term quantum computing era. A major challenge, however, lies in their inherently substantial sampling cost, primarily due to the …
View article: Deterministic Quantum Algorithm Benchmarks in a Noiseless Hybrid Simulation Core - A CI-Validated Performance Report of the Metatron QSO System
Deterministic Quantum Algorithm Benchmarks in a Noiseless Hybrid Simulation Core - A CI-Validated Performance Report of the Metatron QSO System Open
This Technical Note presents a fully reproducible benchmark suite for Metatron QSO, a deterministic and noiseless quantum-algorithm simulation core. All results were generated in continuous integration (CI) using open-source code, ensuring…
View article: Learning quantum states of continuous-variable systems
Learning quantum states of continuous-variable systems Open
Quantum measurements are probabilistic and, in general, provide only partial information about the underlying quantum state. Obtaining a full classical description of an unknown quantum state requires the analysis of several different meas…
View article: Optical physical unclonable functions based on Förster resonant energy transfer in multi-color quantum dots
Optical physical unclonable functions based on Förster resonant energy transfer in multi-color quantum dots Open
View article: A Graph Neural Network Charge Model Targeting Accurate Electrostatic Properties of Organic Molecules
A Graph Neural Network Charge Model Targeting Accurate Electrostatic Properties of Organic Molecules Open
Common methods for assigning atom-centered partial charges in computational chemistry, such as RESP and AM1-BCC, rely on quantum mechanical or semiempirical calculations of the molecule of interest, which are expensive to compute and depen…
View article: Numerical Artifacts of the Computational Universe: Detecting Planck-Scale Truncation Errors and Anisotropy in Physical Experiments
Numerical Artifacts of the Computational Universe: Detecting Planck-Scale Truncation Errors and Anisotropy in Physical Experiments Open
If the universe is a dynamical system realized by underlying discrete computational processes, then finite memory, finite clock frequency and finite numerical precision must leave extremely weak but in-principle detectable ``numerical arti…
View article: Robust and localised control of a 10-spin qubit array in germanium
Robust and localised control of a 10-spin qubit array in germanium Open
Quantum computers require the systematic operation of qubits with high fidelity. For holes in germanium, the spin-orbit interaction allows for electric, fast and high-fidelity qubit gates. However, the strong g-tensor anisotropy of holes i…
View article: Six Exceptional Properties of the "Perez Hourglass": Perspectives toward New Types of Artificial Intelligence and Quantum Computers Appendix : Perez Hourglass Fractal Quantum Computing - A Topological Blueprint for Fault-Tolerant Scalable Quantum Processors
Six Exceptional Properties of the "Perez Hourglass": Perspectives toward New Types of Artificial Intelligence and Quantum Computers Appendix : Perez Hourglass Fractal Quantum Computing - A Topological Blueprint for Fault-Tolerant Scalable Quantum Processors Open
More than thirty-five years after the first intuitions linking self-organization, neuronal networks and the golden ratio (Perez, 1988), a remarkable numerical structure has finally emerged from the depths of Pascal’s triangle: the “Perez H…
View article: New Frontiers in Continuous-Variable Quantum Systems
New Frontiers in Continuous-Variable Quantum Systems Open