About Me

I am a theoretical physicist and Assistant Professor at the Faculty of Electronics, Military University of Technology (WAT). My work operates at the cutting edge of theoretical physics and data science — I develop mathematical frameworks that translate quantum mechanical formalism into powerful, practical tools for anomaly detection, time series analysis, and financial forecasting.

The cornerstone of my current research is Quantum Information Field Theory (QIFT) — a pioneering framework developed in collaboration with Prof. Jacob Cybulski (Deakin University). QIFT redefines data as fields of relational information, exploiting quantum non-commutativity as a structural advantage. This approach challenges the "phase-deaf" limitations of classical statistics in Hilbert space, a critique I formalized in: The Inverse Born Rule Fallacy (2026).

In the industry, I work as a Quantum Machine Learning Engineer at finQbit, where I bridge high-level theory with industrial deployment. We have recently published our first flagship research paper from finQbit: Option Pricing on Noisy Intermediate-Scale Quantum Computers (2026). This work demonstrates the practical utility of Quantum Neural Networks (QNNs) in derivative pricing, backed by extensive benchmarks on state-of-the-art quantum hardware including IBM Fez, IQM Garnet, IonQ Forte, and Rigetti Ankaa-3.

My academic trajectory is a journey through complex structures: PhD in particle physics (neutrino oscillations) → Topological analysis of biomolecules (Nature Scientific Reports) → Graph-based intelligenceApplied QML. Driven by a focus on geometric and information-theoretic structures.

Research

Primary Framework & Industrial Application

Quantum Information
Field Theory (QIFT)

QIFT reframes data encoding in QML by treating observations as non-commutative Hamiltonian evolution. This overcomes the "phase-deaf" limitations of standard amplitude encoding, a critique formalized in The Inverse Born Rule Fallacy.

Theoretical Foundation

Critique of standard quantum representation paradigms and introduction of the relational information field framework.

Industrial Deployment (finQbit)

Option Pricing on NISQ Computers: Our first flagship paper from finQbit. We demonstrate a QNN approach for financial derivatives, benchmarked on IBM Fez, IQM Garnet, and Rigetti Ankaa-3.

Research
Trajectory

2007–2013
Particle Physics & Quantum Field Theory
PhD on neutrino oscillations and non-standard interactions. Work on family symmetries and the mathematical structure of quantum fields.
2014–2019
Topological Data Analysis & Biomolecular Geometry
Developed the genus invariant for biomolecules. Published in Nature Scientific Reports (2018).
2020–2025
Graph Data Science & Community-Aware Features
Focus on large networks and community detection. Papers in Social Network Analysis and Mining (2024).
2025 →
Quantum Machine Learning & QIFT
Bridging theory and industry. Active development of QIFT and deployment of industrial-grade QML at finQbit.

Key
Collaborators

Deakin University, Australia
QIFT · QML · Time Series
Rafał Pracht
finQbit
Quantum Finance · QNN · NISQ
Bogumił Kamiński
SGH Warsaw School of Economics
Graph Theory · Decision Analysis
Paweł Prałat
Toronto Metropolitan University
Complex Networks
François Théberge
Tutte Institute
Graph Algorithms
Bartosz Dziewit
University of Silesia
QFT · Family Symmetries

Publications

The friendship paradox isn't a paradox—it's a quantum phenomenon.

S.Z.
My Remarks (2026)

Your Data is not a set

S.Z.
My Remarks (2026)

Classes of Maps as the Primary Object

S.Z.
My Remarks (2026)

Quantum Neural Networks. Application for credit risk assesment

S.Z, K. Kuba
Quantum Technologies in Finance book (2026)

Option Pricing on Noisy Intermediate-Scale Quantum Computers: A Quantum Neural Network Approach

S.Z, R. Pracht
Arxiv (2026)

The Inverse Born Rule Fallacy: On the Informational Limits of Phase-Locked Amplitude Encoding

S.Z. J. L. Cybulski, B. Dziewit, T. Kulpa
Arxiv (2026)

Co-evolutionary Asymmetry vs. Modular Design: Optimization Trade-offs in Quantum Denoising Autoencoders

J. L. Cybulski, J. Zwoniarski, A. Strąg, S.Z.
Quantics 2026 (2026)

RSCUcaller: R Package for analyzing differences in relative synonymous codon usage

M.Mazdziarz, S.Z., Ł.Paukszto, J.Sawicki
BMC Bioinformatics vol. 26 no. 141 (2025)

Quantum Modelling of Time Series: Expressivity vs. Trainability

J. L. Cybulski, S.Z.
TBA (2025)

Kwantowe algorytmy hybrydowe jako modele uczenia maszynowego

S.Z, J. L. Cybulski, T. Kulpa
Sztuczna inteligencja w przedsiębiorstwach i gospodarce (AI Spring 2024) (2025)

Design Considerations for Denoising Quantum Time-Series Autoencoder

J. L. Cybulski, S.Z.
24th International Conference on Computational Science (ICCS) (2024)

Classification Supported by Community-Aware Node Features

B. Kaminski, P. Pralat, F. Theberge, S.Z.
Complex Networks & Their Applications XII vol. 4 (2024)

Predicting Properties of Nodes via Community-Aware Features

B. Kaminski, P. Pralat, F. Theberge, S.Z.
Social Network Analysis and Mining vol. 14 (2024)

Incorporating Gravity into the Path Integral of Quantum Mechanics Using the Thermodynamics of Spacetime

G. Biehle, C. Ellgen, B. Sabra, S.Z.
OSF Preprints (2022)

Selected machine learning methods used for credit scoring

M. Wrzosek, D. Kaszynski, K. Przanowski, S.Z.
Oficyna Wydawnicza SGH (2020)

Variable selection methods

K. Przanowski, S.Z, D. Kaszynski, L. Opinski
Oficyna Wydawnicza SGH (2020)

Metody selekcji zmiennych w modelach skoringowych

K. Przanowski, S.Z.
Oficyna Wydawnicza SGH (2020)

Family Symmetries and Multi Higgs Doublet Models

B.Dziewit, J.Holeczek, S.Z., M.Zralek
Symmetry vol. 12(1) no. 156 (2020)

Genus for biomolecules

P. Rubach, S.Z. , B. Jastrzebski, J. I. Sulkowska, P. Sulkowski
Nucleic Acids Research (2019)

Genus trace reveals the topological complexity and domain structure of biomolecules

S.Z., C. Geary , E. A. Andersen, P. Dabrowski-Tumanski, J.Sulkowska, P.Sulkowski
Nature Scientific Reports vol. 8 (2018)

Lepton Masses and Mixing in Two-Higgs-Doublet Model

P. Chaber, B. Dziewit, J. Holeczek, M. Richter, M. Zralek, S.Z.
Physical Review D vol. 98 (2018)

The discrete family symmetries as the possible solution to the flavour problem

B.Dziewit, J.Holeczek, M.Richter, M.Zralek, S.Z.
Physics of Atomic Nuclei vol. 80 no. 4 (2017)

Texture zeros in neutrino mass matrix

B.Dziewit, J.Holeczek, M.Richter, M.Zralek, S.Z.
Physics of Atomic Nuclei vol. 80 no. 2 (2017)

The Flavour Problem and the Family Symmetry Beyond the Standard Model

B.Dziewit, J.Holeczek, M.Richter, M.Zralek, S.Z.
Acta Physica Polonica B vol. 46 no. 11 (2015)

Attempts at Explaining Neutrino Masses and Mixings Using Finite Horizontal Symmetry Groups

B.Dziewit, M.Zralek, S.Z.
Acta Physica Polonica B vol. 44 no. 11 (2013)

Majorana neutrino mass matrix with CP symmetry breaking

B.Dziewit, M.Zralek, S.Z.
Acta Physica Polonica B vol. 42 no. 11 (2011)

The method of the likelihood and the Fisher information in the construction of physical models.

E.W.Piotrowski, J.Sladkowski, J.Syska, S.Z.
Physica Status Solidi B vol. 246 no. 5 (2009)

Neutrino Oscillations in the case of general interactions

J. Syska, M. Zralek, S.Z.
Acta Physica Polonica B vol. 38 no. 11 (2007)

Optimization Trade-offs in Quantum Denoising

J. L. Cybulski, S. Wladyka, S.Z.
to appear

Monographs

A portrait of Quantum Technologies in Finance

Editors: O. ZapataThe Quantum Finance Boardroom (2026)

Sztuczna inteligencja w przedsiębiorstwach i gospodarce (AI Spring 2024)

Editors: T. Doligalski, D. KaszyńskiOficyna Wydawnicza SGH (2025)

Modelowanie dla biznesu. Analityka w czasie rzeczywistym - narzędzia informatyczne i biznesowe

Editors: S. ZajacOficyna Wydawnicza SGH (2022)

The Credit scoring in the context of interpretable machine learning. Theory and Practice.

Editors: D. Kaszyński, B. Kamiński, T. Szapiro.Oficyna Wydawnicza SGH (2020)

Modelowanie dla biznesu. Metody machine learning, modele portfela Consumer Finance, modele rekurencyjne analizy przeżycia, modele skoringowe

Editors: K.Przanowski, S.ZajacOficyna Wydawnicza SGH (2020)

Education

University of Silesia in Katowice

Doctor of Philosophy17.09.2013

Advisor: prof. dr hab Marek Zrałek
Accelerator neutrino oscillations and their non-standard interactions (PL) View

Master of Science27.06.2007

Advisor: dr hab. Jerzy Król
Some geometrical and topological methods in classical and quantum field theory (PL). View

Bechelor of Science27.06.2005

Advisor: dr hab. Jacek Syska
Time Series analysis with ARMA and ARIMA processes. Application in SAS. (PL) View

Music School in Rybnik, I and II degree

Musician2004

Advisor: F. Prus
Accordeon class.