Workshop Description
Executive briefing for operations directors, CTOs, and VP-level leaders in automotive, aerospace, chemicals, and advanced materials. Covers the manufacturing-specific quantum opportunity across simulation, optimisation, and security, alongside vendor selection, investment sequencing, and building internal capability without over-committing to early hardware.
Quantum computing affects manufacturing across three distinct pillars. Quantum simulation promises to accelerate materials discovery and catalyst design by calculating molecular properties that exceed classical HPC capacity. Quantum optimisation targets production scheduling, supply chain logistics, and capacity planning problems where classical solvers hit computational walls at scale. Quantum security demands urgent attention: harvest-now-decrypt-later attacks threaten manufacturing IP and long-lifecycle industrial control systems, and NIST has finalised the first PQC standards (FIPS 203, 204, 205). Each pillar operates on a different timeline, requires different investment, and presents different risk profiles. This briefing maps all three for manufacturing executives so they can make informed decisions about where to invest, what to defer, and how to build quantum readiness into their technology strategy without creating premature vendor dependencies.
What participants cover
- Quantum simulation for manufacturing: where VQE and quantum chemistry solve materials problems classical HPC cannot, and what molecular system sizes are tractable on current NISQ hardware
- Quantum optimisation for operations: how QAOA and quantum annealing encode production scheduling and supply chain problems, with honest assessment of quantum-inspired classical alternatives available today
- Quantum security exposure: harvest-now-decrypt-later risk to manufacturing IP, OT infrastructure, and supply chain communications, with NIST PQC standardisation timeline
- Investment sequencing: a three-horizon framework for near-term quantum-inspired tools, NISQ pilot projects, and fault-tolerant preparation
- Vendor landscape: independent comparison of IBM, Quantinuum, IonQ, D-Wave, and quantum-inspired alternatives (Fujitsu, Toshiba, Microsoft) for manufacturing use cases
- Pilot structuring: how to select problems, choose vendors, define success criteria, and avoid premature lock-in