Module
3
|
28
mins

Quantum Computing

Professor

Prof. Paolo Tasca

The module is taught by Prof. Paolo Tasca, digital economist, Co-founder and Executive Chairman of Exponential Science and experienced blockchain entrepreneur and advisor to global institutions, including the United Nations and central banks.

Professor

Prof. Nikhil Vadgama

This module is taught by Prof. Nikhil Vadgama, Programme Director of the MSc Financial Technology at UCL and Director of Exponential Science, with extensive experience in fintech and collaborating with governments, industry, and central banks worldwide.

What you’ll learn

  1. What is quantum computing?
  2. Why is quantum computing needed?
  3. History of quantum computing
  4. Basics of quantum information
  5. Quantum computation flow
  6. Quantum challenges and roadblocks
  7. Quantum technology branches
  8. Quantum supremacy vs. quantum advantage
  9. Quantum industry applications
  10. Industry applications and future outlook

Key takeaways:

  • Quantum computers use qubits in superposition to enable parallel computation.
  • Entanglement enables qubit correlation, unlocking exponential power.
  • Quantum gates control qubits through interference, forming the basis of quantum algorithms.
  • Current devices belong to the NISQ era and lack fault tolerance.
  • Decoherence and noise are the biggest barriers to scaling quantum systems.
  • Quantum error correction requires many physical qubits to encode one logical qubit.
  • Quantum supremacy is a theoretical milestone, but real-world value lies in achieving quantum advantage.
  • Quantum technologies extend beyond computing to sensing and secure communication.
Published:
12 Aug 2024
Created:
13 Aug 2025
Edited:
12 Aug 2024