Where Science Meets Impact

Where India Leads the Quantum Future

Research Excellence

Our Transformative Pillars

A world-leading quantum research centre must focus on deep research and real-world problems simultaneously. GSCAR's research portfolio integrates both. The research rests on the following six pillars (click on each for more information):

1

Quantum Error Correction (QEC) & Fault-Tolerant Computing

2

Quantum-Inspired Optimization (QIO)

3

Quantum Communication & QKD Simulation

4

Quantum Imaging — Algorithmic & Simulation

5

Post-Quantum Cryptography (PQC) & Enterprise Migration

6

Quantum Materials & Quantum Sensing

Quantum Error Correction Research

Quantum Error Correction (QEC) & Fault-Tolerant Computing

Our Motivation

Quantum computation remains severely limited by noise, decoherence and imperfect control. Even today’s best superconducting and trapped-ion systems have physical qubit error rates in the range of 10⁻³–10⁻⁴, far above the thresholds required for scalable quantum computation (~10⁻⁶–10⁻⁹).

Quantum Error Correction (QEC) is the foundational technology that makes fault-tolerant quantum computing possible.

Some of the major corporations in the world are investing billions into QEC codes, decoders, logical qubits and noise-robust architectures. India has excellent activity in quantum algorithms and communication, but no world leading center focused exclusively on QEC research.

GSCAR intends to position itself as India’s first dedicated QEC research hub.

Quantum-Inspired Optimization (QIO)

Our Motivation

Optimization lies at the core of numerous industrial workflows—logistics routing, scheduling, supply chain optimization, financial portfolio balancing, energy grid management, drug discovery and more. Traditional classical optimization struggles with:

  • High-dimensional search spaces
  • Multiple conflicting objectives
  • Dynamic real-time constraints

Quantum-Inspired Optimization (QIO) fills the gap between classical and quantum hardware. QIO applies computational principles inspired by quantum mechanics—tensor networks, amplitude amplification, Ising models, quantum walks—to classical hardware (CPU/GPU).

Some of the worlds Leading corporations and several startups are aggressively investing in QIO because it delivers practical speedups now and direct commercial relevance across industries without requiring specialized hardware.

GSCAR’s mission is to achieve the above QIO goals in a time bound manner.

Quantum Inspired Optimization Visualization
Quantum Key Distribution Infrastructure

Quantum Communication & QKD Simulation

Our Motivation

Quantum Key Distribution (QKD) enables information-theoretically secure cryptographic keys by leveraging fundamental laws of quantum physics. QKD is central to India’s National Quantum Mission (NQM) and has immediate deployment interest from telecom, banking, and defence sectors. Deploying QKD requires deep expertise in:.

Deploying QKD requires deep expertise in:

  • Simulation of fiber & free-space QKD
  • Protocol security and QBER modelling
  • Key rate optimization and channel analysis
  • Threat modelling (Trojan horse, PNS, detector blinding)

GSCAR aims to position itself as the first center in India dedicated to software-driven QKD simulation and deployment readiness.

Quantum Imaging - Algorithmic Simulation

Our Motivation

Quantum Imaging (QI) is emerging as one of the most transformative domains in modern quantum technologies. While quantum computing and QKD receive wide attention, quantum imaging—especially algorithmic, simulation and quantum-enhanced sensing—represents a domain where India can leapfrog global competition.

Quantum imaging leverages principles such as:

  • Quantum entanglement
  • Quantum interference
  • Photon-number correlations (e.g., SPDC sources)
  • Ghost imaging
  • Compressed sensing in the quantum regime
  • Quantum illumination protocols
  • Sub-shot noise imaging
  • Quantum phase estimation

GSCAR’s QI project aims to build India’s first open-science quantum imaging algorithm and simulation lab.

Quantum Imaging Research
Post-Quantum Cryptography

Post-Quantum Cryptography (PQC) & Enterprise Migration

Our Motivation

The global cryptographic ecosystem is undergoing its largest transformation since the invention of RSA. Quantum computers—when sufficiently advanced—will break widely used cryptosystems such as RSA-2048, Diffie-Hellman and ECC. In response, The US National Institute of Standards and Technology (NIST) selected the following as the first generation of Post-Quantum Cryptography (PQC) algorithms in 2022–23:

  • CRYSTALS-Kyber (KEM)
  • CRYSTALS-Dilithium (Signature)
  • Falcon, SPHINCS+ (alternate signatures)

There is an urgency for Governments, banks, and defense platforms to migrate as quickly as possible to this environment. Agencies such as the NIST, NSA, RBI, and HQDS all emphasize urgent PQC transition. Real-world enterprises are struggling with cryptographic inventory uncertainty, lack of agility, and a shortage of trained engineers.

The GSCAR Quantum Lab aims to address this challenge.

Quantum Materials & Quantum Sensing

Quantum Materials Research

Our Motivation

Quantum materials—such as graphene, hexagonal boron nitride (h-BN), transition-metal dichalcogenides (TMDs), topological insulators and NV-diamond substrates—underpin next-generation quantum devices across sensing, communication, computing and photonics.

The importance and urgency of this technology is underscored by India's push under Quantum Mission (₹6000 Cr) and the rising demand for indigenous quantum supply chains.

At GSCAR we aim to play a significant role in this scenario by establishing a state-of-the-art Quantum Materials Lab.

 

Quantum Sensors Programme

Our Motivation

Quantum sensors represent the most commercially mature branch of quantum technology, with near-term applications across healthcare, navigation, defense, materials, Earth observation and industrial diagnostics. Unlike quantum computing—which requires multi-year, billion-dollar setups—quantum sensors are:

  • Affordable
  • Regulatory-friendly
  • Deployable in 12–18 months
  • • Commercial-ready by TRL 5–7

This makes them ideal for GSCAR’s first hardware-based quantum products.

GSCAR’s QS project focuses on a unified R&D program covering Atomic Quantum Sensors, Solid-State Quantum Sensors, and Photonic Quantum Sensors

Quantum Materials Lab