Theory
qLDPC Codes Reading Group
Reading group covering classical LDPC and expander codes, algebraic topology of quantum codes, quantum Tanner codes, and qLDPC decoding, building up to Nikolas Breuckmann's work.
Research
QCB's QUOR program — Quantum Undergraduate Opportunities in Research — connects prepared undergraduates with intensive quantum research. Propose a project or join an existing one.
Propose a ProjectCurrent Projects · Fall 2026
Theory
Quantum Learning Project
Studies how to extract information and perform spectrum estimation on unknown quantum states from limited measurements, aiming to sharpen bounds and explore physical structures.
Theory / Algorithms
VQE Project
Explores where the Variational Quantum Eigensolver (VQE) algorithm can provide practical value on current and near-term quantum hardware.
Chemistry
Predicting IR Spectra Project
Predicts vibrational IR spectra for molecules such as water, CO2, and formaldehyde using sampling on IBM Quantum and classical processing in Python.
AI Engineering
ECDSA.fail Challenge
Uses an engineering agentic coding harness to optimize elliptic curve point addition in quantum circuits to break ECDSA on the ECDSA.fail benchmark.
Hardware
Quantum Engineering
Spans full-stack quantum computing, covering superconducting qubits, experimental mini-projects, measurement, design, and fabrication.
QML Theory
Geometric QML Reading Group
Covers the theoretical foundations of geometric QML, including variational quantum circuits, Fisher information, quantum geometric tensors, and quantum natural gradients.
Journal Club
Journal Club
Bi-weekly presentations of foundational and recent papers, ranging from EPR and Bell's paradox to predicting quantum properties from few measurements.
Reading Group
Self-Directed Reading Groups
Small peer-led study groups pairing members by level and shared interests, from working through Nielsen & Chuang to exploring topics like cryptography and physics.
Completed Projects
QCB members have built open-source codebases, technical presentations, posters, and writeups across quantum algorithms, quantum machine learning, optimization, simulation, and visualization.
HEP · Quantum Annealing
Particle Reconstruction Using QML
Modeled high-energy particle-collision jets as graph nodes, weighted edges by node-attribute differences, and used max-cut / annealing methods to separate target jet signatures from background.
4
benchmarked configs
83.08%
best max accuracy
Quantum Annealing
COVID-19 and QAOA
Used max-cut, QAOA, and D-Wave quantum annealing tools to study data-driven quarantine groupings for campus reopening scenarios.
50%+
infection reduction scenario
~20%
housing scenario reduction
Quantum Machine Learning
Sentiment Analysis Using QNN
Tested quantum neural-network approaches for sentiment classification, including recurrent quantum circuits and sentence-to-circuit workflows.
75.8%
QRNN training accuracy
69.6%
Lambeq embedding result
NISQ algorithms · simulation
Variational Quantum Eigensolver Review
Reviewed hybrid VQE methods for molecular Hamiltonians, including resource estimation, Hartree-Fock setup, and simulations for H₂ and H₂O.
2
molecules studied
~20
max simulatable qubits noted
Visualization
Prescribing Color to Quantum States
Explored a color-based alternative to Bloch-sphere visualization for multi-qubit, mixed-state, and entangled-state representations.
JPM
John Paul Marceaux method
Qudit
color-state visualization
Quantum Search
Partial Quantum Search
Implemented a variation of Grover's canonical search algorithm in PyQuil, studying the case where the goal is to identify the target block rather than the exact database item.
PyQuil
implementation