PASQAL provider

Artikel
09/16/2024

Tip

When you create an Azure Quantum workspace you automatically get USD500 free Azure Quantum Credits for each quantum hardware provider. You can use the Azure Quantum Credits to submit your first quantum programs to real quantum hardware.

PASQAL's quantum computers control neutral atoms with optical tweezers, using laser light to manipulate quantum registers with up to a hundred qubits.

Publisher: PASQAL
Provider ID: pasqal

The following targets available from this provider:

Target name	Target ID	Number of qubits	Description
Emu-TN	pasqal.sim.emu-tn	100 qubits 1D and 2D networks	Simulates the time-evolution of a quantum state using the Schrödinger equation corresponding to the actions that the lasers perform.
Fresnel	pasqal.qpu.fresnel	100 qubits	PASQAL's neutral atoms quantum computer.

Note

PASQAL quantum provider is currently available in Private Preview. You can request access to the Private Preview by following this link.

Emulator

PASQAL's Emu-TN emulator simulates the time-evolution of a quantum state using the Schrödinger's equation corresponding to the actions that the lasers perform.

Emu-TN emulator runs on a cluster of DGX nodes, each equipped with NVIDIA A100 GPUs, enabling the emulation of PASQAL’s quantum processors. It's a key tool to prototype and validate quantum programs before running them on the QPU . Up to 100 qubits in 2D arrays can be emulated to develop industrial applications and to advance scientific discovery.

Job Type: Simulation
Data Format: application/json
Target ID: pasqal.sim.emu-tn
Target Execution Profile: N/A

Fresnel

Fresnel is PASQAL's quantum computer based on neutral atoms. The neutral atoms, controlled by optical tweezers, compose an array of 100 qubits.

Neutral atoms quantum devices use highly focused lasers, so-called optical tweezers, to trap and manipulate neutral atoms individually to create 1D or 2D qubit arrays in arbitrary configurations. Current PASQAL generation of devices use around 100 rubidium atoms for computations. Each qubit is represented by a two-level energy state in a Rubidium atom, usually a ground state and a Rydberg state which is a high energy state.

Job Type: Quantum program
Data Format: application/json
Target ID: pasqal.qpu.fresnel
Target Execution Profile: N/A

Pulser SDK

In PASQAL QPU, individual atoms are trapped at well-defined positions in 1D or 2D lattices. Pulser is a framework for composing, simulating and executing pulse sequences on neutral atoms quantum devices. For more information, see Pulser documentation.

To install Pulser SDK packages, run the following code:

    !pip -q install pulser-simulation #Only for using the local Qutip emulator included in Pulser
    !pip -q install pulser-core

Input data format

PASQAL targets accept JSON files as input data format. To submit the pulse sequences, you need to convert the Pulser objects into a JSON string that can be used as input data.

# Convert the sequence to a JSON string
def prepare_input_data(seq):
    input_data = {}
    input_data["sequence_builder"] = json.loads(seq.to_abstract_repr())
    to_send = json.dumps(input_data)
    #print(json.dumps(input_data, indent=4, sort_keys=True))
    return to_send

Before submitting your quantum job to PASQAL, you need to set proper input and output data format parameters. For example, the following code sets the input data format to pasqal.pulser.v1 and the output data format to pasqal.pulser-results.v1.

# Submit the job with proper input and output data formats
def submit_job(target, seq):
    job = target.submit(
        input_data=prepare_input_data(seq), # Take the JSON string previously defined as input data
        input_data_format="pasqal.pulser.v1",
        output_data_format="pasqal.pulser-results.v1",
        name="PASQAL sequence",
        shots=100 # Number of shots
    )

For more information about how to submit jobs to the PASQAL provider, see Submit a circuit to PASQAL using Pulser SDK.

Pricing

To see the PASQAL billing plan, visit Azure Quantum pricing.

Limits and quotas

PASQAL quotas are tracked based on the usage of the Emu-TN emulator. Quotas depend on the plan you are using:

Azure Quantum Credits plan: up to 20 hours
Pay-as-you-go plan: up to 100 hours

The quotas are only applied to the Emu-TN emulator. There are no quotas for the Fresnel QPU.

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