Filip Wudarski

Ph. D. in Physics || Quantum Computing Expert || Ex-NASA scientist || Quantum Machine Learning || AI || Quantum Simulations

Research Expertise

Quantum Information
Open Quantum Systems
Quantum Computation
Quantum Machine Learning
Quantum Chemistry
Atomic and Molecular Physics, and Optics
Theoretical Computer Science
Applied Mathematics
Artificial Intelligence
Software
Computational Theory and Mathematics
Statistical and Nonlinear Physics
Computer Networks and Communications
Statistics and Probability
Mathematical Physics
Electrical and Electronic Engineering

About

Accomplished Quantum Computing researcher with a global perspective and extensive industry collaborations. Visionary leader with a proven track record conceiving and leading impactful projects in QC, ML, QML, Quantum Chemistry, and Mathematical Physics. Experienced supervisor, interdisciplinary expert, and effective communicator ready to bring Quantum Computing to useful Quantum Advantage and Fault-Tolerant regime.

Legacy Map

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Publications

Non-Markovian random unitary qubit dynamics
Physics Letters A
2013
Non-Markovianity degree for random unitary evolution
Physical Review A
2015
Optimizing quantum heuristics with meta-learning
Quantum Machine Intelligence
2021
Real-Time Evolution for Ultracompact Hamiltonian Eigenstates on Quantum Hardware
PRX Quantum
2022
Entanglement across separate silicon dies in a modular superconducting qubit device
npj Quantum Information
2021
Characterizing local noise in QAOA circuits
IOP SciNotes
2020
Admissible memory kernels for random unitary qubit evolution
Physical Review A
2015
Markovian semigroup from non-Markovian evolutions
Physical Review A
2016
Entanglement witnesses from mutually unbiased bases
Physical Review A
2018
Geometry of Entanglement Witnesses for Two Qutrits
Open Systems & Information Dynamics
2011
Quantum algorithms with local particle-number conservation: Noise effects and error correction
Physical Review A
2021
Entanglement production and convergence properties of the variational quantum eigensolver
Physical Review A
2020
From Ansätze to Z-Gates: A NASA View of Quantum Computing
Future Trends of HPC in a Disruptive Scenario
2019
Experimental investigation of Markovian and non-Markovian channel addition
Physical Review A
2020
Neural network ansatz for periodic wave functions and the homogeneous electron gas
Physical Review B
2023
Two-Unitary Decomposition Algorithm and Open Quantum System Simulation
Quantum
2023
Output statistics of quantum annealers with disorder
Physical Review A
2022
Exchange of information between system and environment: Facts and myths
EPL (Europhysics Letters)
2016
Channel Coding of a Quantum Measurement
IEEE Journal on Selected Areas in Communications
2020
Geometry of Entanglement Witnesses Parametrized by SO(3) Group
Open Systems & Information Dynamics
2012
Characterizing Low-Frequency Qubit Noise
Physical Review Applied
2023
Class of Bell-diagonal entanglement witnesses in C4C4 : Optimization and the spanning property
Physical Review A
2022
Practical Verification of Quantum Properties in Quantum-Approximate-Optimization Runs
Physical Review Applied
2022
Robustness and fragility of Markovian dynamics in a qubit dephasing channel
Physical Review A
2017
Augmented fidelities for single-qubit gates
Physical Review A
2020
Nonergodic Measurements of Qubit Frequency Noise
Physical Review Letters
2023
Dual-map framework for noise characterization of quantum computers
Physical Review A
2022
Erratum to “Channel Coding of a Quantum Measurement”
IEEE Journal on Selected Areas in Communications
2020

Education

Nicolaus Copernicus University

Ph. D., Physics / June, 2015

Toruń

Nicolaus Copernicus University

M.Sc., Physics / June, 2011

Toruń

Nicolaus Copernicus University

B. Sc., Chemistry / June, 2009

Toruń

Experience

USRA and NASA QuAIL

Associate Scientists / March, 2019January, 2021

As a member of NASA QuAIL team I focused on research in: benchmarking quantum hardware and algorithms, building noise models for quantum circuits, developing novel quantum algorithms, investigated properties of variational quantum algorithms. Additionally, I was actively contributing in writing grant proposals, supervision of interns (grad and undergrad students), and collaboration with industrial partners (e.g. Google, IBM, Rigetti).

Scientist / January, 2021October, 2022

Continued to work on various topics in the field of quantum computing, like: building machine learning models for quantum chemistry, developed new quantum algorithms, simulated quantum systems and quantum circuits. Supervised interns and applied for research grants.

USRA

Scientist / November, 2022Present

Developed quantum machine learning models for modeling chaotic systems, in particular proposed and tested (both in classical simulation and quantum simulation) a hybrid quantum reservoir computing algorithm.

University of KwaZulu-Natal

NITheP Postdoctoral Fellow / September, 2015February, 2017

Characterized (non-)Markovian dynamics of open quantum systems. Proposed a photonic experiment for testing non-convex mixing of open quantum systems dynamics that later was realized at UKZN. Prepared and conducted lecture and tutorials for undergraduate students.

University of Freiburg

Visiting Researched / March, 2017February, 2019

Visited the group of Prof. Buchleitner as a winner of Mobility Plus grant awarded by Polish Ministry of Higher Education. During my 2 years stay I investigated entanglement properties of variational quantum eigensolver (in collaboration with IBM Zurich), as well as statistical properties of the D-Wave quantum annealer (in collaboration with VW DataLab). Additionally, I continued investigating properties of entanglement witnesses and open quantum systems. I conducted tutorials for Master's students. During my visit I co-supervised Bachelor's and Master's students.

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