Quantum × Agents × Web

Give your agents a quantum advantage.

Quantum Agentic Web is the infrastructure layer for autonomous AI agents that reason, decide, and act across the open web — with quantum-accelerated planning and post-quantum security built in.

// QPU-agnostic · post-quantum secure · web-native execution

2.4M-node search · resolved in 38ms

Building the agentic web with teams in

Logistics Capital Markets Energy Grids Drug Discovery Defense
10⁶×
Larger solution spaces explored per planning cycle
<50ms
Median agent action latency at the edge
PQC
Post-quantum cryptography on every agent handshake
24/7
Autonomous orchestration, zero standing infrastructure
The thesis

Agents are hitting a classical ceiling.

As AI agents take on real work — negotiating, routing, allocating, coordinating — the decision spaces they face explode combinatorially. A fleet re-routing around a storm, a portfolio rebalancing across thousands of instruments, a lab prioritizing millions of candidate molecules: the option space grows faster than any classical planner can search.

So classical agents prune, approximate, and time out. They act on a sliver of the possibilities and call it a decision.

Quantum Agentic Web pairs every agent with quantum-accelerated optimization and sampling. Hard sub-problems offload to hybrid quantum-classical solvers, so an agent can weigh vastly more options inside the same wall-clock budget — then act on the open web with cryptography engineered to survive the quantum era.

The bottleneck for autonomy was never intelligence. It was the size of the space an agent can search before it has to act.
How it works

From goal to signed action — in three moves.

A single control plane turns an intent into a live agent that plans at quantum scale and acts with verifiable trust.

STEP 01

Deploy an agent

Declare goals, tools, and guardrails. QAW compiles them into a policy the agent executes against the live web — no orchestration servers to run.

STEP 02

Plan at quantum scale

Combinatorial sub-problems — routing, scheduling, allocation, search — offload to hybrid solvers across QPU-agnostic backends, with automatic classical fallback.

STEP 03

Act, verify, settle

Agents call APIs and browse the web, sign every action with post-quantum keys, and write a replayable, attributable audit trail.

Capabilities

A full stack for autonomous work.

Everything an agent needs to think harder and act safely — exposed through one clean API.

Quantum-accelerated planning

QAOA- and annealing-backed solvers tackle the combinatorial decisions where classical planners stall.

Hardware-agnostic QPU access

One interface across superconducting, ion-trap, and photonic backends — with graceful fallback to classical compute.

Post-quantum security

Kyber key exchange and Dilithium signatures secure every agent identity, handshake, and action.

Web-native execution

Headless browsing, tool and API calling, and structured extraction are first-class primitives — not bolt-ons.

Multi-agent orchestration

Coordinate fleets with shared memory, market-based task routing, and automatic conflict resolution.

Verifiable audit trails

Every decision and action is cryptographically signed, replayable, and attributable end to end.

The platform

Four layers. One control plane.

L1

Agent Runtime

Goals, memory, tools, and guardrails — the loop where agents perceive and decide.

L2

Quantum Planner

Hybrid quantum-classical solvers and a QPU router that picks the right backend per problem.

L3

Secure Web Fabric

Post-quantum identity, web-native execution, and signed, replayable audit logs.

L0

QPU-Agnostic Backends

Superconducting, ion-trap, and photonic hardware — plus classical fallback.

qaw — logistics-agent
qaw deploy agent ./logistics-agent.yaml
compiling policy ····· ok
binding QPU: ion-trap (fallback: classical) ok
agent live — subscribing to network state
re-route event: storm over corridor 7
solving 2,400,318-node routing space
✓ decision in 38ms · signed w/ Dilithium
Use cases

Where quantum-scale decisions change the game.

Logistics

Autonomous networks

Fleets and supply chains that re-route and re-allocate in real time as demand, weather, and prices shift beneath them.

Capital markets

Algorithmic strategy

Execution and portfolio agents that explore enormous strategy spaces and act within microstructure timeframes.

Science

Discovery at scale

Research agents that design, prioritize, and refine experiments across combinatorial candidate spaces.

The first serious attempt to give autonomous agents a computational edge that classical infrastructure simply can’t match.
— Design concept · positioning draft for Quantum Agentic Web
Early access

Put a quantum edge behind your agents.

We’re onboarding a first cohort of teams building autonomous systems where the size of the decision matters. Request access and we’ll reach out.

No spam. Just an invite when your cohort opens.