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Solutions

Track an index efficiently

Replicate any benchmark with fewer assets and lower cost.

Beat the benchmark, without losing control of it

Consistent excess return with tightly managed tracking error.

Go fully market-neutral

A selective technology partnership for decorrelated returns.

Plan complex logistics and routing operations at scale

Get an operational plan computed for you.

New space: plan missions across an entire constellation

Satellite mission planning and multi-body route optimization.

Get more out of every renewable asset and battery

Siting and storage optimization for energy assets.

Interpretable credit scoring, without the accuracy penalty

Meet Basel III / IFRS 9 without sacrificing accuracy.

Products

iQ Index Tracking

A solution for building personalized index funds

iQ Index Tracking Plus

A solution for hybrid passive-active management

iQ Alpha

Fully market-neutral strategies, built with you

iQ Xtreme

Solve optimization problems classical solvers can't

iQ ML

Interpretable machine learning, without the accuracy trade-off

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Why we don't
oversell quantum computing

Honest, technical answers to the questions we get asked most: what “quantum-inspired” actually means, what it doesn't, and where the real limits are.

Technology

How can we help you?

These are the questions we get asked most before anyone signs anything. No sales language, just the honest technical answer.

It has its origins in the study of quantum computing and quantum systems, yet it runs on conventional computers. Thinking about how a quantum computer would approach a problem often opens up new ways to solve it, including on ordinary hardware.
For many problems, quantum-inspired algorithms capture some of the advantages promised by quantum hardware: faster computation, better solutions, or lower memory use. We use these advantages to deliver real business value today, not as a bet on future hardware.
The insight comes from understanding hard problems through the lens of quantum information. Often, simply redefining a problem this way opens the door to solutions with real speedups. Other times, we can turn a quantum algorithm into a classical one that keeps a useful part of that advantage. We wouldn't have found these algorithms without understanding how quantum systems work.
Yes and no. Quantum-inspired algorithms can run on individual machines, large clusters, or cloud infrastructure. We deliver ours as a SaaS product.
Yes, largely. Because they're inspired by quantum algorithms, they share conventions and problem definitions with their quantum counterparts, so the two are broadly interchangeable. If you're planning for a future that includes quantum hardware, we can help you build something that benefits from both.
No. Some of our algorithms take inspiration from quantum computing, but they're built from scratch as new, highly efficient algorithms. They don't imitate a universal quantum computer.
No. Quantum computers today are fragile and expensive, and running ordinary computations on one would waste resources. Qubits are typically slower than ordinary bits, so a quantum speedup isn't worth it for every task. When a problem needs very little entanglement, a quantum-inspired algorithm running on ordinary hardware is usually the faster, cheaper choice.
No. A small number of quantum algorithms, like factoring, offer exponential speedups with no classical equivalent. In those specific, well-understood cases, that advantage is real and can't be reproduced classically. Nobody expects that to change.
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