A Practitioner’s Journey Through Real-World Quantum Computing Use Cases

Facilitator
: Alex Khan
Category: Quantum Use Cases
Facilitator: Alex Khan
Duration: 60 min
Session date: 27 February 2025
Session time: 2:00
Language: English
Target Audience: Quantum computing executives, educators, industry stakeholders, journalists, policy makers, entrepreneurs, physicists, computer scientists, engineers, university/college or high school teachers, etc.
Prerequisite Knowledge: Basic awareness of quantum computing
Outcomes
- Understand the different types of quantum and quantum-inspired solvers, optimization algorithms and practical use cases.
- Identify tools and techniques that can be utilized in solving real-world problems through quantum computers now and in the future.
- Appreciate the challenges in delivering value and quantum advantage for clients as an entrepreneur.
- Investigate some unique benchmarks of classical solvers, quantum computers and quantum emulators with actual results using “Quantum Computing Experimentation with Amazon Braket.”
Objective
- To provide a view of the quantum computing use-case landscape scaling from a few qubits to millions of binary variable applications using quantum inspired solvers through some interesting applications of quantum computing in the real world
Aim
- To equip participants with an intuition of how to break down real world problems into smaller manageable problems that can be solved through quantum technologies
Workshop Abstract
-
This presentation offers a brief tour of the types and complexities of real-world problems that quantum computing can tackle today. Alex will guide you through examples of varying size and scope, from smaller optimization problems on gate-based quantum devices to larger, more complex applications managed by hybrid quantum-inspired solvers. This session is designed for both non-technical and technical audiences curious about the current state of quantum computing and eager to understand the types of challenges that can now be addressed using quantum solutions.
Drawing from personal projects Alex developed over the past six years, he will share practical applications across fields like supply chain optimization, healthcare, and financial portfolio management. He will also reference insights from his book, "Quantum Computing Experimentation with Amazon Braket," which explores optimization strategies and discusses the advantages and challenges of quantum algorithms like QAOA in noisy environments. Additionally, he will share key lessons learned from launching ZebraKet, a startup in quantum computing, where we navigated the unique challenges of relying on quantum and quantum-inspired solvers for complex problem-solving.
To round out the session, Alex discusses recent research on Fixed Point Adaptive Grover’s Search, a novel approach to optimization with fewer parameters. While not yet compatible with near-term noisy devices, this method holds promise for the future of quantum optimization. This journey through practical applications, entrepreneurial insights, and emerging research will inspire new ideas and help demystify where quantum computing stands today—and where it’s heading next.
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