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Mihir Talati — Résumé (Canonical Source)

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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)

  • Created families of fault-tolerant CSS quantum error-correcting codes for qudits.
  • Proved transversal Clifford and T gate support using finite field and QEC theory.
  • Built parallel Python tooling (Galois, NumPy, Magma, SageMath) to test self-orthogonality and distance.

Undergraduate Researcher — Bright Beams Collective (IREAP)

  • Designed machine learning and gradient optimizers for particle accelerator beamline tuning.
  • Ran MAD-X and Elegant simulations to evaluate lattice stability and beam quality.
  • Produced Fusion 360 and Ansys visualizations for educational and technical presentations.

Software Engineering Intern — JODO PAY

  • Automated invoice generation and delivery via Google Workspace APIs.
  • Reduced manual processing by approximately 40 staff hours each week.
  • Hardened error handling and template management with TypeScript and Apps Script.

Projects

Quantum State Tomography via QML

  • Co-developed variational circuit tomography with custom losses and embeddings.
  • Launched 2,000+ experiments across multi-GPU clusters via bespoke orchestration tools.
  • Co-author on "Quantum state reconstruction with variational quantum circuit" (arXiv:2507.01246).

MIT iQuHack — QuEra Challenge

  • Built a compilation pipeline translating QAOA and error-correcting circuits into neutral atom instructions.
  • Optimized pulse schedules using Qiskit, Cirq, Bloqade, PyTorch, and TensorFlow Quantum.
  • Team earned an Honorable Mention from QuEra.

Club Administration Automation

  • Automated Discord announcements, email campaigns, Instagram posts, and room reservations.
  • Integrated Google APIs, Discord.py, Selenium, and OAuth2 for end-to-end workflows.
  • Adopted by multiple university clubs to reduce administrative effort.

Quantum ML Research Collection

  • Crafted quantum image processing pipelines with parameterized kernels inside CNNs.
  • Designed a hybrid transitional optimizer that mitigates barren plateaus in QAOA.
  • Presented findings at the 2024 First Year Innovation & Research Experience Summit.

Housing Market Analysis

  • Built feedforward neural networks to predict housing prices from public datasets.
  • Applied PCA and statistical analysis to surface high-signal features.
  • Combined web-scraped listings with census data to improve model robustness.

Indie Game Development

  • Shipped two action platformers with custom soft-body simulation via Unity/Unreal.
  • 2nd place, 2021 Mindbox National Design Championship (Game Design).
  • National finalist, 2020 Mindbox Design Championship (Game Development).
  • Authored a procedural map generation toolkit for arbitrary tilemaps.

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
Differentiable Programming for Agentic AI (CMSC498Z)
course
Natural Language Processing (CMSC470)
course
Data Science (CMSC320)
course
Design & Analysis of Algorithms (CMSC451)
course
Honors Advanced Modern Physics (PHYS400)
course
Quantum Mechanics II (PHYS402)

Organizations

Industry Chair — Quantum Coalition

  • Co-organized the QRISE research competition with 200+ global participants.
  • Partnered with the UN and ITU to deliver the QC-FLIQ hackathon (500+ attendees).

President — Undergraduate Quantum Association

  • Led programming, partnerships, and outreach after four years as an officer.
  • Hosted the Quantum Leap Career Nexus with 240+ attendees across IBM, Microsoft, Amazon Braket, IonQ, and more.

Co-President — ACM@UMD

  • Restarted the official student chapter and launched a new web presence.
  • Grew membership to 145+ students with workshops on shell scripting, AI, and quantum computing.

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

  • Wrote 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