Quantum Advantage in Nuclear Engineering
Nuclear
Quantum
Three breakthrough applications where quantum computing eliminates the fundamental bottlenecks in reactor simulation, safety verification, and materials science — transforming what was once physically or computationally impossible.
1/N
Error scaling with Amplitude Amplification
100+
Year reactor lifespan potential with new materials
∞→RT
Week-long simulations to real-time digital twins
About
We Apply Quantum Computing to Nuclear Engineering
Nuclear Quantum Computing is a deep-tech research and engineering company at the intersection of quantum algorithms and nuclear reactor science. We develop quantum-native simulation tools that give nuclear engineers capabilities that are simply not possible on classical hardware.
Our team brings together physicists, quantum algorithm researchers, and nuclear engineers who share one conviction: the next generation of safe, long-lived, and economically viable nuclear energy will be designed with quantum computers
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Quantum Algorithms
Designing QLSA and amplitude amplification methods purpose-built for reactor physics.
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Nuclear Simulation
Deep domain expertise in neutron transport, Monte Carlo methods, and materials modeling.
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Safety Certification
Accelerating regulatory pathways by producing verifiable, high-fidelity simulation outputs.
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Industry Partnership
Working with reactor developers, national labs, and quantum hardware providers.
01
Breaking the "Precision vs. Time" Bottleneck
The Problem
The Fidelity Gap in Reactor Simulation
Current reactor simulations (like the Neutron Transport Equation) are forced to choose between speed — using simplified diffusion models — or accuracy — using Monte Carlo methods that take weeks.
This "fidelity gap" leads to over-engineering, higher costs, and slower safety certification for new reactor designs.
The Quantum Opportunity
Exponential Speedup for Reactor Physics
Quantum Linear System Algorithms (QLSA): Can solve the massive matrices of reactor physics with exponential speedup.
Real-time Digital Twins: Moving from week-long simulations to real-time "High-Fidelity" digital twins for operational monitoring.
02
Accelerating Safety & Shielding (Quantum Monte Carlo)
The Problem
The Cost of Rare-Event Verification
Designing radiation shielding requires simulating "rare events" — the one-in-a-billion neutron that escapes. On classical computers, the error rate only improves at a rate of 1/√N.
Doubling precision requires quadruple the computing power.
"Zero-leakage" verification for spent fuel transport is prohibitively expensive.
The Quantum Opportunity
Quadratic Speedup in Monte Carlo Sampling
Amplitude Amplification: Quantum computers provide a quadratic speedup — the same precision is achieved with drastically fewer samples (1/N scaling).
Deep Penetration Modeling: Accelerating shielding and "dark corner" simulations that are currently "blind spots" in classical safety codes.
03
Predicting Material Properties Under Radiation Conditions
The Problem
The 60-Year Testing Problem
We cannot physically test how a new alloy will behave after 60 years of radiation in a core without waiting 60 years — or using "proxy" tests that are often inaccurate.
Material degradation (swelling, embrittlement) happens at a subatomic scale that classical computers cannot simulate accurately.
Classical approaches fail due to the "curse of dimensionality."
The Quantum Opportunity
Quadratic Speedup in Monte Carlo Sampling
Atomic-Scale Simulation: Quantum computers are native to the laws of physics. They can simulate how neutrons displace atoms in a metal lattice without "averaging" the results.
Life Extension: Discovering radiation-resistant materials that could extend reactor lifespans from 60 to 100+ years, saving billions in decommissioning costs.
Get in Touch
Whether you're a reactor developer, national laboratory, quantum hardware partner, or investor — we'd like to hear from you. Fill out the form and our team will respond within 48 hours.