Welcome to emu-mps

You have found the documentation for emu-mps. The emulator emu-mps is a backend for the Pulser low-level Quantum Programming toolkit that lets you run Quantum algorithms on a simulated device, using GPU acceleration if available. More in depth, emu-mps is designed to emulate the dynamics of programmable arrays of neutral atoms, with matrix product states (mps). While benchmarking is incomplete as of this writing, early results suggest that this design makes emu-mps faster and more memory-efficient than previous generations of quantum emulators at running simulations with large numbers of qubits.

Supported features

The following features are currently supported:

• All Pulser sequences that use only the rydberg channel
• MPS and MPO can be constructed using the abstract Pulser format.
• The following noise types:
  • SPAM
  • Monte Carlo quantum jumps
  • A Gaussian laser waist for the global pulse channels.
• The following basis states in a sequence:
  • ground-rydberg
  • XY
• The following properties from a Pulser Sequence are also correctly applied:
  • hardware modulation
  • SLM mask
  • A complex phase for the omega parameter
• Customizable output, with the folowing inbuilt options:
  • The quantum state in MPS format
  • Bitstrings
  • The fidelity with respect to a given state
  • The expectation of a given operator
  • The qubit density (magnetization)
  • The correlation matrix
  • The mean, second moment and variance of the energy
• Specification of
  • initial state
  • various precision parameters
  • whether to run on cpu or gpu(s)
  • the \(U_{ij}\) coefficients from here
  • A cutoff below which \(U_{ij}\) are set to 0 (this makes the computation more memory efficient)

Planned features

• Parallel TDVP on multiple GPUs
• More noise:
  • the currently unsupported noises in the Pulser NoiseModel
• Differentiability

More Info

Please see the API specification for a list of available config options (see here). Those configuration options relating to the mathematical functioning of the backend are explained in more detail in the config page (see here). For notebooks with examples for how to do various things, please see the notebooks page (see here).