KB/91GUEST
ABOUT.EXE

ρₜ → hₜᑫ → π*

About Krishna

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.

LOCATION

India

CURRENT ROLE

Research Associate — QuantumAI Lab, Fractal Analytics

RESEARCH.AREAS

Quantum Reservoir ComputingQuantum Machine LearningScientific ML / PINNsQuantum Control & Open SystemsQuantum Neuromorphic / Temporal LearningGraph & Agentic Methods for Quantum DesignQuantum Technology Policy

RESEARCH.PROGRAMME

LEARN

Learning with physical systems

Quantum reservoir computing is the center of gravity: using fixed or structured quantum dynamics as temporal feature maps, then asking when memory, representation, measurement and readout design actually help.

CONTROL

Intelligence for quantum systems

Physics-constrained sequence models, quantum state reconstruction, feedback control and AI-assisted architecture design, with learning mechanisms that respect the geometry and physical constraints of the systems they act on.

TRANSLATE

From research to quantum capability

Quantum technologies are also infrastructure and ecosystem problems. This track studies state capabilities, value chains, supply constraints, policy design and pathways from scientific capacity to technological and economic impact.

DECIDE

Decision-making under uncertainty

An emerging layer connecting finance training with uncertainty, resource allocation, optimization, technology strategy and the economics of deep technology.

LANGUAGES

  • Gujarati — Native or bilingual proficiency
  • Hindi — Native or bilingual proficiency
  • English — Full professional proficiency
  • Sanskrit — Limited working proficiency
  • French — Elementary proficiency

This site includes public, accepted, published, presented, and openly available work only. Confidential and under-review research is intentionally excluded.