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A machine learning approach to Bayesian parameter estimation
A Neural Framework for Learning DAG to DAG Translation
A Note on Optimal Liquidation with Linear Price Impact
A Path Integral Approach for Time-Dependent Hamiltonians with Applications to Derivatives Pricing
A Predictive Approach for Selecting the Best Quantum Solver for an Optimization Problem
A short introduction to the Lindblad Master Equation
A Straightforward Introduction to Continuous Quantum Measurement
An existence and uniqueness theory to stochastic partial differential equations involving pseudo-differential operators driven by space-time white noise
An introduction to variational quantum algorithms for combinatorial optimization problems
Atomic interferometer based on optical tweezers
Attention is all you need
Auction Design with Group Fairness Concerns
Baryogenesis in Minkowski Spacetime
Classification of the Fashion-MNIST Dataset on a Quantum Computer
Collapse dynamics are diffusive
Collective Randomized Measurements in Quantum Information Processing
Computation of random time-shift distributions for stochastic population models
Conceptualizing Trustworthiness and Trust in Communications
Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference
Coordinating Decisions via Quantum Telepathy
Demonstration of Shor’s factoring algorithm for N=21 on IBM quantum processors
Detecting Quantum and Classical Phase Transitions via Unsupervised Machine Learning of the Fisher Information Metric
Dynamics of Open Quantum Systems II, Markovian Approximation
Efficient Asymmetric Causality Tests
Efficient MPS representations and quantum circuits from the Fourier modes of classical image data
Efficient Quantum Circuit Simulation by Tensor Network Methods on Modern GPUs
Efficient Quantum Gradient and Higher-order Derivative Estimation via Generalized Hadamard Test
Efficient simulation of the SABR model
Emergence in Multi-Agent Systems, a Safety Perspective
Encoding a qudit in an oscillator
Endogenous distress contagion in a dynamic interbank model, how possible future losses may spell doom today
Entropy Rate Maximization of Markov Decision Processes under Linear Temporal Logic Tasks
Environment Complexity and Nash Equilibria in a Sequential Social Dilemma
Exact and universal quantum Monte Carlo estimators for energy susceptibility and fidelity susceptibility
Exact solutions for a coherent phenomenon of condensation in conservative Hamiltonian systems
Exact solutions of the quantum double square well potential
Fairness in Multi-Proposer-Multi-Responder Ultimatum Game
Fast Estimation of Percolation Centrality
Fully autonomous tuning of a spin qubit
Fully Quantum Hash Function
Generalized Black Hole Entropy is von Neumann Entropy
Geometry of homogeneous polynomials in the real plane
GNSS MEMS-INS Integration for Drone Navigation using EKF on Lie Groups
Gradient flow in parameter space is equivalent to linear interpolation in output space
Helium Catalyzed D-D Fusion in a Levitated Dipole
Holographic Realization of the Prime Number Quantum Potential
Hybrid completely positive Markovian quantum-classical dynamics
Integer Factorization by Quantum Measurement
Integrated Mach-Zehnder interferometer for Bose-Einstein condensates
Joint calibration to SPX and VIX Derivative Markets with Composite Change of Time Models
Jordan-Schwinger map in the theory of angular momentum
KAN based Autoencoders for Factor Models
Kolmogorov-Arnold Network
Kullback-Leibler-based characterizations of score-driven updates
LDPC-cat codes for low-overhead quantum computing in 2D
LDPC-cat codes for low-overhead quantum computing in 2D 1
Learnability of Parameter-Bounded Bayes Nets
Learning eigenstates of quantum many-body Hamiltonians within the symmetric subspaces using neural network quantum states
Learning the noise fingerprint of quantum devices
Leggett-Gard inequalities
Lower bound for simulation cost of open quantum systems, lipschitz continuity approach
Machine Learning Catalysis of quantum tunneling
Machine learning for optical quantum metrology
Mathematical Derivation of Angular Momenta in Quantum Physics
Matrix Multiplication on Quantum Computer
Methods for Optimization Problems with Markovian Stochasticity and Non-Euclidean Geometry
Minimal Quantum Circuits for Simulating Fibonacci Anyons
Modular Deutsch Entropic Uncertainty Principle
Modulated time evolution for efficient variational ground-state preparation
Multivariate Information Measures, A Copula-based Approach
Mutual information fluctuations and non-stabilizerness in random circuits
Neural Network Renormalization Group
Neural Term Structure of Additive Process for Option Pricing
Non-Gaussian Quantum States and Where to Find Them
Non-Hermitian-Hamiltonian-induced unitarity and optional physical inner products in Hilbert space
Notions of Fermionic Entropies of a Causal Fermion System
Observation of the Quantum Zeno Effect on a NISQ Device
On expected signatures and signature cumulants in semimartingale models
On Probabilistic Embeddings in Optimal Dimension Reduction
On the (im)possibility of extending the GRW model to relativistic particles
On the Generalization for Transfer Learning, an Information-Theoretic Analysis
On the Liouville-von Neumann equation for unbounded Hamiltonians
Online Fair Allocation with Best-of-Many-Worlds Guarantees
Optimal generators for Quantum Sensing
Parameter Efficient Deep Neural Networks with Bilinear Projections
PDEs for pricing interest rate derivatives under the new generalized Forward Market Model (FMM)
Performance Analysis of a Repetition Cat Code Architecture
Phase detection at the quantum limit with multi-photon Mach-Zehnder interferometry
Post-Selection Inference via Algorithmic Stability
Privacy-Preserving Graph Embedding based on Local Differential Privacy
Probabilistic symmetries and invariant neural networks
Pymablock, an algorithm and a package forquasi-degenerate perturbation theory
Quantum algorithm for nonlinear differential equations
Quantum algorithms - A survey of applications and end-to-end complexities
Quantum algorithms for scientific computing
Quantum Brownian Motion, a review
Quantum Channels, Kraus Operators, POVMs
Quantum Dynamical Hamiltonian Monte Carlo
Quantum Langevin equation
Quantum Reference Frames for Lorentz Symmetry
Quantum theory of phase estimation
Reconstructing the dynamics of a movable mirror in a detuned optical cavity
Reinforcement-learning-based matter-wave interferometer in a shaken optical lattice
Renormalization Group and Probability Theory
Risk sharing with Lambda value at risk under heterogeneous beliefs
Robust Qubit Mapping Algorithm via Double-Source Optimal Routing on Large Quantum Circuits
Solving graph problems with single-photons and linear optics
Solving the Quantum Many-body Hamiltonian learning problem with Neural Differential Equations
Sparks of Quantum Advantage and Rapid Retraining in Machine Learning
Steady State of Imaginary-Time Lindbladian Evolution
Stochastic Calculus for Option Pricing with Convex Duality, Logistic Model, and Numerical Examination
Stochastic Expansion for the Pricing of Asian and Basket Options
Stochastic unraveling of positive quantum dynamics
Surpassing the Quantum Limit in Bosonic Loss Estimation without Quantum Probes
Synaptic pattern formation during cellular recognition
Tensor Network Python (TeNPy) version 1
Tensor renormalization group study of the three-dimensional SU(2) and SU(3) gauge theories with the reduced tensor network formulation
The Classification of Clifford Gates over Qubits
The Elements of Differentiable Programming
The inverse Kalman filter
The Lipschitz continuity of the solution to branched rough differential equations
The Merton's Default Risk Model for Public Company
The multivariate fractional Ornstein-Uhlenbeck process
Threshold error rates for the toric and surface codes
Tight Time Complexities in Parallel Stochastic Optimization with Arbitrary Computation Dynamics
Towards Enabling Deep Learning in Quantum Convolution Neural Networks
Unraveling the Mystery of Quantum Measurement with A New Space-Time Approach to Relativistic Quantum Mechanics
Which theories have a measurement problem?
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Computation of random time-shift distributions for stochastic population models
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Computation of random time-shift distributions for stochastic population models
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