Quantum computing has crossed from theoretical promise into early commercial application. IBM, Google, IonQ, and Quantinuum operate functional quantum processors accessible via cloud APIs. Quantum-classical hybrid algorithms now demonstrate provable advantage in materials science, drug discovery, optimisation, and cryptography.
India's national quantum mission has committed ₹6,000 crore through 2031. The talent pipeline is structurally short.
MasterAI's Quantum Research programme is built for the practitioner — not the physicist. We do not require a graduate degree in physics. We do require quantitative aptitude and a serious commitment to nine months of structured research.
Graduates exit with a working command of Qiskit, demonstrated hands-on experience on IBM Q and AWS Braket, and a complete research thesis suitable for publication, employment in industry quantum teams, or admission into formal graduate programmes.
This programme is unusual in providing every enrolled student with paid, scheduled access to commercial quantum hardware for the full nine-month duration. There is no separate cloud-credit fee.
Access to IBM's superconducting quantum processors via Qiskit Runtime. Run circuits on real quantum hardware, not just simulators.
Cross-vendor access to IonQ trapped-ion, Rigetti superconducting, and Quera neutral-atom systems through the Braket SDK.
GPU credits for state-vector simulation of larger circuits during pre-deployment validation work.
Linear algebra refresher, Dirac notation, qubits and superposition, measurement and the Born rule, entanglement.
Single-qubit and multi-qubit gates, universal gate sets, circuit decomposition, no-cloning theorem.
QuantumCircuit, transpilation, backends, IBM Quantum Composer, running first programs on real hardware.
Deutsch-Jozsa, Bernstein-Vazirani, Simon's algorithm, Grover search, quantum Fourier transform.
Period finding, factoring, post-quantum cryptography. Implications for current cryptographic infrastructure.
Noisy intermediate-scale quantum reality. VQE, QAOA, variational quantum classifiers. Practical limits in 2026.
Quantum kernel methods, parameterised quantum circuits, quantum neural networks. Hybrid quantum-classical training.
Stabiliser codes, surface code, threshold theorem, fault-tolerant computation. The path to scaled quantum advantage.
Superconducting qubits, trapped ions, neutral atoms, photonic systems. Trade-offs and roadmaps from each vendor.
Materials science, drug discovery, financial optimisation, logistics. Where quantum advantage is real today.
Independent research project under faculty supervision. Original computational experiments, literature survey, paper writing.
Final thesis review by external examiner. Submission to arXiv or conference proceedings where appropriate.
MIT xPRO single quantum course: ~₹1,35,000 (USD 1,600 × 4 weeks)
MIT xPRO Quantum Fundamentals Certificate (2 courses): ~₹2,70,000
Our nine-month research programme — including thesis publication track and full lab access — sits at the low end of this benchmark while delivering a substantively deeper output.
Engineering and physics students considering postgraduate work. Working software engineers transitioning into quantum-aware fields. Researchers who need a structured nine-month immersion. Senior professionals from finance, pharma, or materials industries preparing for quantum-adjacent disruption.
Comfort with undergraduate-level linear algebra and probability. Comfort with at least one programming language (Python preferred). No formal physics qualification required, though it is helpful.
A short technical interview confirms readiness.
Online form with a statement of research intent.
Thirty-minute interview to verify mathematical preparation.
One-page sketch of intended thesis direction. Reviewed by faculty.
Decision within ten days. Ten percent commitment fee secures the seat.