Quantum

PennyLane

Xanadu · #13 most active of 17 in Quantum

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Autograd-style quantum machine learning across simulators and hardware backends.

Current version

0.4x

Entry cost

Open source (Apache-2.0)

Changes / 30d

0

Capabilities

  • autodiff of quantum circuits
  • Catalyst JIT
  • lightning simulators
  • hardware plugins

Pricing

Open source (Apache-2.0)

Entry price over time

Not enough pricing history yet — we start charting from the second observation.

Geek mode

Models under the hood

  • Catalyst JIT

    Xanadu

    disclosed
  • JAX / PyTorch backends

    third-party

    disclosed

Context window

Public API

yes

Multi-model routing

yes

Stack signals

  • Python
  • JAX
  • MLIR

Shared model stack

Other tracked products running on the same foundation models — a quick read on how much of the catalog moves when one of these models changes.

  • Catalyst JITXanadu · 1 product
  • JAX / PyTorch backendsthird-party · 1 product

green disclosed · amber inferred · grey unknown

Reported scale

Reference data. Each figure is whatever the source actually said — weekly users, downloads, revenue run-rate — with its own definition and date. These are not comparable between tools and are never used to rank anything.

No public usage figure on record for this product.

Also in Quantum

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Model
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Version
Helios
Cost
Enterprise contract / credits
Model
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Alice & Bob

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Cat-qubit approach to hardware-level error protection.

Version
Boson 4
Cost
Cloud + partnerships
Model
cat qubit

Managed multi-vendor quantum cloud

Version
GA
Cost
Free simulator tier, per-task hardware pricing
Model
IonQ / IQM / Rigetti / QuEra
Atom Computing

Atom Computing

Neutral-atom systems with 1,000+ qubit arrays.

Version
2025
Cost
Partnership-based
Model
neutral atom
Azure Quantum

Microsoft

Quantum cloud plus resource estimation

Version
GA
Cost
Free credits then per-hardware pricing
Model
Quantinuum / IonQ / Pasqal

Change history

  • capability

    Catalyst JIT compilation promoted to stable

    Catalyst JIT

    source