Applications
Science
To transform this industry, what are the most impactful computational problems to solve?
Idea
I want to transform my industry
Code
How do I translate the algorithms into the optimal code to run on the earliest available fault tolerant quantum computer?
Math
What are the mathematical algorithms that can address each computational problem?
Quantum Computing solves otherwise impossible computational tasks with potential to transform industries
-
Sustainability
Large scale decarbonization
Direct air capture -
Healthcare
Drug discovery
Drug synthesis -
Finance
Derivative pricing
Portfolio optimization -
Transportation
New battery materials
Green hydrogen -
Security
Cryptanalysis
Codebreaking
Quantum computing, in the early years, will be best suited to tackle simulation and math problems
Early generations
Simulation
e.g., statics, dynamics, thermodynamics, condensed matter
Math
e.g., prime factorization, ODEs and PDEs (linear, semi-linear and non-linear)
Optimization
e.g., enhancement of existing algorithms, general optimization problems
Quantum ML
e.g., specific, identified small data type problems to accelerate ML, broad big data type problems
Later generations
Simulation Use Cases
Statics
Applications:
Drug binding affinity
Drug discovery - selectivity
Green H2 electrolyzer yields
FeMoCo ground state energies
CO2 binding energy for metal-organic frameworks
Chemical reaction calculation
Dynamics
Applications:
Ambient rWGS for DAC
H2 electrocatalysis
H2 thermocatalysis
Ammonia synthesis
Pharma synthesis & manufacturing
Drug reaction mechanisms (selectivity)
Degradation of materials/membranes
Thermodynamics
Applications:
Drug affinity ranking
Fragment-based drug discovery
Material structure prediction
Material stability
Materials
Applications:
Batteries
Materials discovery (e.g., alloys, dielectrics)
Math Use Cases
ODEs
Applications:
Plasma physics
Fluid dynamics
Optimal control theory
Geometric optics
Diffusive dynamical systems
High dimensional stochastic systems
Modelling of non-linear biological systems
PDEs
Applications:
Drug diffusion
Biodiversity modelling
Very high dimensional systems where short-term estimates suffice
What does it mean to be quantum-ready?
It is widely understood that quantum computing has huge disruptive potential, but despite the excitement, not enough work has been done to clearly, quantitatively articulate the precise advantage that quantum computing will bring for specific usecases. It can also be challenging to estimate when and how these use-cases will become relevant.
At PsiQuantum we believe that we have a very fast path to useful systems, but we also recognize that these systems will be a rare and powerful resource – strong concentration of power, analogous to what happened in semiconductor manufacturing– and we are selfishly motivated to sharpen our quantitative understanding of potential impact across many industries, in order to ensure that the limited capacity of early systems is put to best use. Our customers and partners understand that having clarity on these issues can provide a strategic competitive advantage, and will inform decisions to secure – or defer –access to future machines. We work with partners to
Identify the highest impact use cases for an organization’s strategic priorities
Develop quantum algorithms to solve the computational bottlenecks
Estimate the resources required to run these algorithms on future fault-tolerant hardware
Map these resources our roadmap, in to understand the earliest point in time at which these applications will become relevant