Krishna Bhatia
Quantum AI Researcher · Quantum Reservoir Computing · Scientific ML · Quantum Technology Policy
Research Associate at Fractal Analytics’ QuantumAI Lab working on quantum machine learning, quantum reservoir computing, scientific machine learning, quantum control, temporal and dynamical learning, and hybrid quantum-classical systems. I also contribute to quantum-technology policy and ecosystem research through QETCI, with an emerging finance lens around uncertainty, resource allocation, deep technology, and decision-making.
soulfulkrishna@gmail.com · LinkedIn · Google Scholar · GitHub · OpenReview
Research interests
Quantum Reservoir Computing · Quantum Machine Learning · Scientific ML / PINNs · Quantum Control & Open Systems · Quantum Neuromorphic / Temporal Learning · Graph & Agentic Methods for Quantum Design · Quantum Technology Policy
Professional & research experience
Research Associate — QuantumAI Lab — Fractal Analytics
Jul 2025 — Present · India · Hybrid
Research across quantum machine learning, quantum reservoir computing, scientific machine learning, temporal learning and hybrid quantum-classical systems, including physics-informed forecasting, open-system identification, quantum control and AI-assisted quantum-system design.
Volunteer Policy Researcher — Quantum Ecosystems Technology Council of India (QETCI)
Oct 2025 — Present · India · Hybrid
Researching India’s quantum-technology ecosystem across state capability mapping, industrial and academic value chains, enabling infrastructure, policy design, commercialization and evidence-backed recommendations.
Qiskit Advocate — IBM
Aug 2025 — Present · Remote
Member of the Qiskit Advocate community, contributing to the broader quantum-computing ecosystem and practitioner community.
Mentor — QWorld
May 2026 — Present · Remote
Mentoring quantum-computing research projects, including QIntern 2026 work on quantum reservoir memory for continuous-time temporal graph learning and quantum-network optimization.
Visiting Researcher / Research Collaborator — Purdue University — QSEI / CLAN Lab
Aug 2024 — Present · Remote collaboration
Ongoing research collaboration in quantum neuromorphic computing and quantum machine learning. The formal visiting-research period ran Aug 2024–Jun 2025; collaboration continues through manuscript development and new research discussions on quantum perceptrons, reservoir-style extensions and learning dynamics.
Lead QIntern — QWorld — QIntern 2025
Jul 2025 — Aug 2025 · Remote
Led research on Quantum Reservoir Computing for Sustainable Time-Series Forecasting in High-Energy Physics, emphasizing benchmarking, reproducibility and accuracy-resource trade-offs.
Project Intern — QuantumAI Lab — Fractal Analytics
Dec 2024 — Jun 2025 · India · Hybrid
Prototyped and benchmarked quantum/classical machine-learning methods for scientific and temporal tasks, contributing to publication-oriented research in quantum ML and QRC before moving into the full-time Research Associate role.
Bachelor’s Thesis Project Trainee — Space Applications Centre (SAC), ISRO
Feb 2025 — Apr 2025 · Ahmedabad, Gujarat, India · Hybrid
Worked on a confidential quantum-secure communication project in a high-assurance research environment involving software architecture and quantum/post-quantum security. Sensitive implementation details are intentionally omitted.
Software Testing Intern — Paanduv Applications
Oct 2024 — Dec 2024 · Hybrid
Tested QuantPracar, contributing to software quality assurance, functional testing, bug identification, workflow validation, reporting and documentation.
Maker’s Lab Intern — Tech Mahindra — Maker’s Lab
Sep 2024 — Dec 2024 · Pune, Maharashtra, India · Hybrid
Worked on quantum machine learning for satellite-image processing and geospatial applications, including feature extraction and classification connected to GPS, mapping and Earth-observation workflows.
Quantum Computing Intern — Creed&Bear
Jun 2024 — Oct 2024 · Hybrid / Dubai, UAE
Developed and benchmarked quantum-AI approaches for time-series forecasting, including Quantum LSTM, Quantum SVR and Quantum Reservoir Computing against classical and statistical baselines.
Summer Research Fellow — Quantum Optics — Indian Institute of Technology Madras — Department of Electrical Engineering
Jun 2024 — Jul 2024 · Chennai, Tamil Nadu, India · On-site
Under Prof. Anil Prabhakar, automated a knife-edge laser-beam characterization setup using Arduino, a stepper-motor stage, photodiode circuitry and PCB electronics; performed optical alignment and beam-profile measurements relevant to cavities and quantum optics.
Research Project Intern — CSIR — Central Scientific Instruments Organisation (CSIO)
Sep 2023 — Oct 2023 · Chandigarh, India
Investigated machine-learning and gradient-based methods combined with computer-generated holography algorithms such as Gerchberg–Saxton for hologram generation from images.
Education
MBA, Finance
Gujarat Technological University (GTU) · 2025 — 2027 (expected)
CGPA 9.67 / 10
B.E. Computer Engineering
Gujarat Technological University (GTU) · 2021 — 2025
CGPA 8.5 / 10
Professional service & leadership
- Session Chair — ‘Neural Network for Sciences,’ IJCNN / IEEE WCCI 2026
- Reviewer — International Joint Conference on Neural Networks (IJCNN) 2026
- Lead Intern — QIntern 2025, coordinating research on sustainable QRC benchmarking
- Mentor — QWorld / QIntern 2026 quantum-computing research projects
Technical skills
Quantum: Qiskit · PennyLane · Quantum circuit simulation · Quantum reservoir computing · Variational / hybrid quantum-classical modelling · Quantum control concepts
ML / Scientific: PyTorch · TensorFlow / Keras · JAX · scikit-learn · NumPy · Pandas · Time-series modelling · Scientific ML / PINNs · Graph learning · Sequence models · Generative models
Programming / Systems: Python · C/C++ · CUDA-enabled experimentation · Linux · Git / GitHub · Jupyter · LaTeX
Research practice: Benchmark design · Ablations · Reproducibility · Experiment automation · Technical writing · Literature review · Scientific visualization
Policy / Strategy: Quantum ecosystem mapping · Value-chain analysis · Technology-policy research · Evidence synthesis
Languages
- Gujarati — Native or bilingual proficiency
- Hindi — Native or bilingual proficiency
- English — Full professional proficiency
- Sanskrit — Limited working proficiency
- French — Elementary proficiency
Additional
National Cadet Corps — A-Certificate · Flute · Chess · Technical writing
Selected highlights
- Research Associate — Fractal Analytics, QuantumAI Lab
- IJCNN / IEEE WCCI 2026 — accepted research + Session Chair
- QNRL @ WCCI 2026 — accepted research
- QETCI — quantum-technology policy research
- Purdue QSEI / CLAN Lab — ongoing research collaboration
For the full and current publication record, see the Research / Papers section and Google Scholar.