PRST  /  Quantum software research

Code for the quantum era.

PRST researches quantum algorithms and programming tools, and the problems they will solve, from new medicines to cleaner energy.

Research stage Open publications Hardware-agnostic
|ψ⟩ = cos(θ/2)|0⟩ + eiφsin(θ/2)|1⟩

01 — What we do

We write the software layer between physics and outcomes.

Quantum algorithms

We design algorithms that use superposition and interference to beat the best classical methods. We also publish the resource estimates that show when they will run on real hardware.

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Quantum software & compilers

We build the languages, compilers and testing tools that turn an idea into a circuit a machine can run. Most of it is open source.

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Applied research

We work with chemists, materials scientists and engineers on specific problems. The aim is to find where a quantum computer gives a measurable advantage, and to say so plainly when it does not.

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02 — Why quantum, why now

Some problems are written in the language of nature.

Molecules and materials follow quantum rules. A classical computer has to approximate them. A quantum computer can follow the same rules directly. Hardware is improving fast, and the software has to be ready first.

Qubit

A bit with a direction

A classical bit is 0 or 1. A qubit is a direction on a sphere. The top means 0, the bottom means 1, and every other point is a mix of both.

Super­position

Both, until you look

Until it is measured, a qubit holds both possibilities at once, each with a weight. Measuring it gives a single 0 or 1. Algorithms arrange those weights so the right answer becomes the likely one.

Entangle­ment

Correlated by design

Entangled qubits share one state. Measure one and you learn about the other. This is what lets a few hundred good qubits describe more states than there are atoms in the universe.

Try it · bit vs qubit Measurements: 0
Classical bit
0
Qubit · drag the arrow |0⟩ |1⟩

The qubit points between 0 and 1. Measuring it forces a choice, with odds set by its direction.

Entangled pair: measure one, and the other is no longer a coin toss.

03 — Impact

Where quantum changes the world.

Each area has a horizon. It is our honest estimate of when quantum methods could matter in practice, and we update it as hardware and algorithms improve.

Drug discovery & molecular simulation

Simulate how a drug binds to its target from first principles, before anything is made in a lab.

Horizon: 5–10 yrs

New materials & batteries

Predict the properties of new catalysts and electrolytes for denser, safer batteries.

Horizon: 5–10 yrs

Climate & energy optimization

Balance power grids and model carbon capture chemistry at a level of detail out of reach today.

Horizon: 10+ yrs

Cryptography & security

Large quantum computers will break today's public-key encryption. We help teams move to post-quantum methods now.

Horizon: Migration starts now

Logistics & optimization

Find better routes and schedules for fleets, factories and supply chains with thousands of moving parts.

Horizon: 5–10 yrs

Finance & risk modeling

Estimate risk across many scenarios with fewer samples than classical Monte Carlo methods need.

Horizon: 5–10 yrs

04 — Our approach

From a whiteboard to a working partnership.

Step 1

Research

Start from a hard question and the mathematics behind it. Work out what a quantum method could gain, on paper first.

Step 2

Prototype

Write the algorithm, run it on simulators and today's hardware, and measure the gap to the best classical approach.

Step 3

Open-source

Publish the paper and the code, so other researchers can check our results and build on them.

Step 4

Partner

Take proven methods to companies with real data and real constraints, and develop them together.

05 — Open research

Published openly, reproducible by default.

  • Algorithms

    Resource estimates for ground-state energy of iron-sulfur clusters

    Preprint
    In preparation
  • Compilers

    Typed circuits: catching qubit errors at compile time

    Workshop paper
    In preparation
  • Applied

    Where is the advantage? A benchmark of quantum routing heuristics

    Technical note
    In preparation

06 — People

Physicists, mathematicians and compiler engineers.

Founder & CEO

Profile coming soon

Head of Research

Profile coming soon

Lead, Compilers

Profile coming soon

Applied Scientist

Profile coming soon

Let's build what's next.

One short email a month: new papers, code releases and open problems we are working on.

Or contact us directly