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Mihir Talati — Résumé (Canonical Source)

Profile
Experience
Projects
Education
- University of Maryland — College Park
Organizations
Publications
- Quantum state reconstruction with variational quantum circuit
- A Very Quick Guide to Special Relativity
Skills
- Languages
- Quantum
- ML
- Simulation
- Tools

Profile

Pursuing dual degrees in Computer Science and Physics at the University of Maryland. Exploring quantum computing, machine learning, and physics based simulation with an emphasis on research and development. Interested in all things science and technology. Hobbies include tinkering with unix and hardware, game development and literature.

Experience

Researcher — CAAR REU (QuICS)

tech: Python
tech: Galois
tech: NumPy
tech: Magma Math
tech: SageMath
?: Designed novel fault-tolerant CSS quantum error-correcting codes for qudits inspired by quadratic residue codes.
?: Established code families with transversal Clifford and T gate support through finite field and QEC theory proofs.
?: Implemented parallel Python tooling to validate self-orthogonality and distance properties across large search spaces.

Undergraduate Researcher — Bright Beams Collective (IREAP)

tech: MAD-X
tech: Elegant
tech: Fusion 360
tech: MATLAB
tech: Ansys Workbench
?: Built custom machine learning and gradient-based optimizers to derive design parameters for a planned beamline.
?: Ran accelerator simulations to analyze lattice stability and beam quality under varied operating configurations.
?: Produced animations of betatron motion for outreach presentations and technical discussions.

Software Engineering Intern — JODO PAY

tech: JavaScript
tech: TypeScript
tech: Google Apps Script
?: Automated invoice generation and dispatch for clients, reducing manual processing by 40 staff hours each week.
?: Integrated Google Workspace APIs to manage templates, customer data, and error handling workflows.

Projects

Quantum State Tomography via QML

tech: Python
tech: Qiskit
tech: Aer
tech: MPI
tech: Numba
tech: PyTorch
?: Co-developed a variational circuit tomography approach, exploring loss landscapes, embedding strategies, and optimizers.
?: Executed 2,000+ experiments across multi-GPU clusters with a custom orchestrator for reproducible benchmarking.
?: Co-authored "Quantum state reconstruction with variational quantum circuit" (arXiv:2507.01246).

MIT iQuHack — QuEra Challenge

tech: Python
tech: Qiskit
tech: Cirq
tech: Bloqade
tech: PyTorch
tech: TensorFlow Quantum
?: Designed a compilation pipeline mapping diverse quantum circuits — including QAOA and Steane codes — to QuEra hardware.
?: Optimized pulse sequences for neutral atom instruction sets, contributing to the team's honorable mention finish.

Quantum Machine Learning Research

tech: Python
tech: Qiskit
tech: Cirq
tech: PennyLane
tech: Q#
?: Implemented quantum image processing with parameterized circuit kernels integrated into CNN architectures.
?: Created a hybrid transitional optimizer to mitigate barren plateaus in QAOA, presented at the FYIRE Summit 2024.

Terrapin Rocket Team — Kalman Filters

tech: C
tech: C++
tech: MATLAB
?: Developed six- and nine-state Kalman filters fusing multi-sensor telemetry for rocket position estimation.
?: Supported the team's winning entry at the 2024 Spaceport America Cup.

Robotics @ UMD — Computer Vision

tech: Python
tech: OpenCV
tech: scikit-learn
?: Developed Haar cascade pipelines for the Testudog robotics platform deployed on a Jetson-powered Boston Dynamics Spot.

Club Administration Automation

tech: Python
tech: Selenium
tech: Discord.py
tech: REST APIs
tech: OAuth 2.0
?: Automated Discord announcements, email campaigns, Instagram publishing, and room reservations for university clubs.
?: Currently deployed across multiple organizations to streamline administrative overhead.

Housing Market Analysis

tech: Python
tech: Pandas
tech: SciPy
tech: NumPy
tech: scikit-learn
tech: SQL
?: Trained feedforward neural networks for price prediction using engineered features derived from public listings and census data.
?: Applied PCA and statistical analysis to identify high-signal attributes and reduce overfitting.

Independent Game Development

tech: C#
tech: C++
tech: Unity
tech: Unreal Engine
tech: Blender
tech: Adobe Suite
?: Published two action platformers, including a custom 2D soft-body simulation available via Two Guys Studios on itch.io.
?: Placed second in the 2021 Mindbox National Design Championship; finalist in the 2020 edition.
?: Built a procedural map generation toolkit leveraging noise algorithms and custom pathfinding.

Education

University of Maryland — College Park

degree: B.S. Computer Science (Honors)
degree: B.S. Physics (Honors)
honor: Angelo Bardasis Scholarship — Physics
honor: John D. Gannon Scholarship — Computer Science
honor: Dean's List — Every Semester
course: Graduate Quantum Computing (CMSC657)
course: Computer Science Honors Seminar
course: Differentiable Programming for Agentic AI (CMSC498Z)
course: Natural Language Processing (CMSC470)
course: Data Science (CMSC320)
course: Design & Analysis of Algorithms (CMSC451)
course: Object-Oriented Programming in Java (CMSC132)
course: Applied Probability & Statistics (STAT400)
course: Honors Advanced Modern Physics (PHYS400)
course: Quantum Mechanics II (PHYS402)
course: Multivariate Calculus
course: Differential Equations

Organizations

Industry Chair — Quantum Coalition

Co-organized the QRISE research competition with 200+ international participants.
Partnered with the UN and ITU to deliver the QC-FLIQ hackathon for the International Year of Quantum (500+ attendees).

President — Undergraduate Quantum Association

Led organizational strategy, programming, and outreach after serving as an officer since 2020.
Produced the Quantum Leap Career Nexus with 240+ attendees and partners including IBM, Microsoft, and IonQ.

Co-President — ACM@UMD

Restarted the university chapter, launched a new website, and grew membership beyond 145 students.
Led workshops focused on shell scripting, AI, quantum computing, and heuristic search techniques.

Publications

Quantum state reconstruction with variational quantum circuit

Introduces a quantum machine learning approach to tomography for high-dimensional states.
Benchmarks loss landscapes, embedding strategies, and optimizer behavior across noise models.
Highlights scalability results enabled by custom experiment orchestration.

A Very Quick Guide to Special Relativity

Authored and published an accessible primer covering time dilation through mass–energy equivalence.
Focused on first-principles explanations for students exploring modern physics.

Skills

Languages

Python
C
C++
JavaScript/TypeScript
Rust (learning)

Quantum

Qiskit
Cirq
PennyLane
Q#
Bloqade

ML

PyTorch
TensorFlow Quantum
NumPy
SciPy
scikit-learn
MPI
Numba

Simulation

MAD-X
Elegant
Magma
SageMath
Fusion 360
Ansys Workbench

Tools

Git
Docker
Google Cloud APIs
Selenium
Discord.py
REST APIs

12 KiB Raw Blame History Unescape Escape