Jeffrey Morais

Quantum Software Lead @ BTQ
MSc Student @ UVic

Welcome Traveler.

Quantum software engineer with 2+ years of industry experience building cryptographic and distributed systems, grounded in 8 years of academic research in quantum physics. Currently building quantum software at BTQ while completing an MSc at the University of Victoria. I graduated with a BSc in honours physics from McGill University.

At BTQ I designed post-quantum consensus protocols, built quantum error correction toolkits, and developed quantum random number generation systems for blockchain security, collaborating with Prof. Gavin Brennen on optimizing cryptographic proof using topological data analysis and quantum LDPC codes. At UVic, my research under Prof. Thomas Baker investigates thermalization scaling across quantum many-body models, establishing coherence constraints that directly inform quantum hardware design.

I build production quantum software and study the physics that makes it work.

Python Qiskit Tensor Networks TypeScript Next.js Quantum Error Correction Post-Quantum Cryptography

Interests

Quantum software engineering
Quantum error correction
Post-quantum cryptography

Education

MSc in Physics, 2024 - 2026
University of Victoria
BSc in Honours Physics, 2019 - 2023
McGill University

Work

Production quantum software and post-quantum cryptographic systems developed at BTQ Technologies, from error correction toolkits and consensus protocol engineering to quantum random number generation and threat analytics.

QLDPC

Built an interactive 3D quantum circuit builder in Python at BTQ Technologies to accelerate error correction research, integrating surface code construction, LDPC code visualization, and belief propagation decoding into a single Qiskit-compatible toolkit with guided tutorials.

Topological Quantum Neural Networks

Developed topological quantum neural networks in Python to improve generalization in deep learning and boost quantum algorithm efficiency. Employed TQFT-inspired spin-network encoding with a real-time tensor network simulator and interactive classification GUI for robustness testing.

Leonne

Created modular consensus networks in Python at BTQ Technologies for cryptographic proof in blockchain, leveraging topological data analysis to strengthen post-quantum consensus protocols and characterize autonomous network evolution in quantum key distribution systems.

QRiNG

Built a quantum random number generation toolkit in Python at BTQ Technologies for consensus protocols, employing quantum key distribution through Quantum Consensus Networks to produce certifiable randomness with honest-majority verification, enhancing security in cryptographic and blockchain systems.

BasiQ and Qonductor

Developed two quantum-specialized LLM assistants in TypeScript and Next.js at BTQ Technologies to streamline research and education workflows. BasiQ serves as a domain-tuned tutor for quantum theory, computing, and machine learning. Qonductor provides an internal research assistant for academic and engineering teams.

QByte

Built a quantum industry analytics platform in TypeScript at BTQ Technologies to quantify cryptographic risk timelines and educate stakeholders on quantum threats to public-key infrastructure. Features a quantum risk calculator, threat timeline modeling, and post-quantum migration resources.

Publications

Early work on the swampland criteria and de Sitter vacua in string theory, published in the McGill Science Undergraduate Research Journal. Established the mathematical foundations that inform my approach to quantum software design.

Jeffrey Morais (2022). Conflicts with de Sitter Vacua in Superstring Theory. MSURJ.

Cite DOI

Research

Computational physics and quantum information research that underpins my engineering work, spanning quantum many-body thermalization, topological neural networks, holographic entanglement, and signal processing.

Eigenstate Thermalization Hypothesis

Master’s Thesis. Systematic verification of the eigenstate thermalization hypothesis across quantum many-body models, investigating thermalization behavior and quantum chaos in non-integrable systems. Applied scaling analysis and computational methods to characterize integrability transitions.

Collaborator: Prof. Thomas Baker

Consensus Optimization in Quantum Cryptography

Developed secure and scalable protocols for quantum and post-quantum cryptography, leveraging advanced techniques like topological data analysis and combinatorics. Focused on enhancing security and efficiency in quantum communication and consensus protocols.

Supervisor: Prof. Gavin Brennen

Consensus Optimization in Quantum Cryptography

Topological Quantum Neural Networks Learning

Developed topological quantum neural networks to enhance deep learning generalization and quantum algorithm efficiency. Modeled information flow using topological quantum field theory, enabling scalable quantum computing tasks.

Supervisors: Prof. Antonino Marcianò, Prof. Emanuele Zappala

Topological Quantum Neural Networks Learning

Holographic Qubit Entanglement Structure

Explored how topological wormholes influence qubit entanglement and quantum network stability. Analyzed tunneling events and wormhole dynamics to improve quantum algorithms and architectures.

Supervisor: Prof. Igor Boettcher

Holographic Qubit Entanglement Structure

de Sitter Cosmology in Quantum Gravity

Bachelor’s Thesis. Investigated the existence of de Sitter vacua in string theory and their role in modeling our universe. Analyzed quantum effects on compactified spaces to bypass theoretical constraints and enhance understanding of quantum gravity.

Supervisor: Prof. Keshav Dasgupta

Cosmic String Signal Extraction

Modeled cosmic string signals amidst non-linear noise from early-universe phase transitions. Utilized match-filtering techniques to identify signals and study their formation and evolution using quantum field theory.

Supervisor: Prof. Robert Brandenberger

Photon Recycling Effects in Light Propulsion

Studied photon-recycling propulsion systems, focusing on quantum effects and efficient momentum transfer. Analyzed light interactions and radiation pressure to optimize energy transfer for quantum and aerospace technologies.

Supervisor: Prof. Andrew Higgins

Photon Recycling Effects in Light Propulsion

Fast Radio Burst Repeater Correlations

Analyzed fast radio bursts signals to explore black-white hole tunneling connections. Processed CHIME data to correct for noise and characterize scintillation patterns, improving astrophysical signal interpretation.

Supervisor: Prof. Victoria Kaspi

Tensor Networks for Cancer Radiation Doses

Developed neural network models to optimize radiation therapies for tumors. Simulated helical trajectories to reduce damage to healthy tissues while enhancing targeting precision.

Supervisor: Prof. Marija Popovic

Tensor Networks for Cancer Radiation Doses

Gamma Ray Bursts in Tidal Disruption Events

Studied γ-rays in supernovae and tidal disruption events using Fermi-LAT data. Cleaned background noise and performed statistical analyses to identify and characterize high-energy sources.

Supervisor: Prof. Kenneth Ragan

Gamma Ray Bursts in Tidal Disruption Events

Quantum Trajectory Neural Networks

Solved quantum trajectories in pilot-wave theory using neural networks and the Crank-Nicolson method. Developed scripts to efficiently compute trajectories for diverse potentials in quantum systems.

Supervisor: Prof. Ivan Ivanov

Topological Confinement of Light in Circuits

Investigated topological confinement in nanobeam microcavities to optimize photonic circuits. Simulated resonant modes to control frequency, intensity, and phase for quantum and optical applications.

Supervisor: Prof. Pablo Bianucci

Topological Confinement of Light in Circuits

Personal

Creative projects and explorations in game development, procedural generation, and fluid dynamics. You feel it before you see it. A flicker at the edge of the viewport. It knows you scrolled this far.

Bloc Fantôme

An isometric 2.5D creative sandbox inspired by Minecraft. Features 100+ block types, real-time liquid dynamics, multi-dimension exploration (Overworld, Nether, End), dynamic lighting, weather systems, and 3D positional audio. Built entirely in Python with Pygame.

Water & Fluid Simulations

Physics-based fluid dynamics simulations implementing Navier-Stokes equations, smoothed particle hydrodynamics (SPH), and real-time water rendering. Features wave propagation, viscosity modeling, and interactive fluid behavior visualizations.

Terraria Procedural Generation Algorithms

Deep dive into Terraria’s world generation mechanics. Analyzes biome placement algorithms, cave system generation, ore distribution patterns, structure spawning logic, and the mathematical foundations behind procedural 2D sandbox worlds.

Minecraft Procedural Generation Algorithms

Mathematical exploration of Minecraft’s world generation algorithms. Implements LCG random number generation, multi-octave Perlin noise terrain, structure placement theory, Ender Dragon pathfinding AI, and stronghold ring distribution analysis with publication-quality visualizations.

Background artwork by Ionomycin, Dominik Mayer, Montague Dawson, moninlj, Y_Y, and mintaii!