Source code for quantify_scheduler.backends.types.zhinst

# Repository: https://gitlab.com/quantify-os/quantify-scheduler
# Licensed according to the LICENCE file on the main branch
"""Python dataclasses for quantify-scheduler json-schemas."""
from dataclasses import dataclass, field
from enum import Enum, unique
from typing import List, Optional, Union

import numpy as np
from dataclasses_json import DataClassJsonMixin

from quantify_scheduler import enums
from quantify_scheduler.backends.types import common


[docs]@unique class DeviceType(str, Enum): """Enum of device types.""" HDAWG = "HDAWG" UHFQA = "UHFQA" UHFLI = "UHFLI" MFLI = "MFLI" PQSC = "PQSC" NONE = "none"
[docs]@dataclass class Output(DataClassJsonMixin): """ The definition class for zhinst channel properties. This class maps to the zhinst backend JSON "channel" properties defined in the hardware mapping. Parameters ---------- port : The port resource. clock : The Clock resource. clock_frequency: The frequency for the clock resource (AKA RF/signal frequency). mode : The output mode type. modulation : The modulation settings. local_oscillator : The LocalOscillator name. gain1 : The output1 IQ modulation gain. Accepted value between -1 and + 1. (default = 1.0) gain2 : The output2 IQ modulation gain. Accepted value between -1 and + 1. (default = 1.0) trigger : The ZI Instrument input trigger. (default = None) Setting this will declare the device secondary markers : The ZI Instrument output triggers. (default = []) mixer_corrections : The output mixer corrections. """ port: str clock: str mode: enums.SignalModeType modulation: common.Modulation local_oscillator: str clock_frequency: Optional[float] = None gain1: int = 0 gain2: int = 0 trigger: Optional[int] = None markers: List[Union[str, int]] = field(default_factory=lambda: []) mixer_corrections: Optional[common.MixerCorrections] = None
[docs]@dataclass class Device(DataClassJsonMixin): """ The device definition class for zhinst devices. This class maps to the zhinst backend JSON "devices" properties defined in the hardware mapping. Parameters ---------- name : The QCodes Instrument name. type : The instrument model type. For example: 'UHFQA', 'HDAWG4', 'HDAWG8' ref : The reference source type. channels : The list of channels. (auto generated) channel_0 : The first physical channel properties. channel_1 : The second physical channel properties. channel_2 : The third physical channel properties. channel_3 : The fourth physical channel properties. channelgrouping : The HDAWG channelgrouping property. (default = 0) corresponding to a single sequencer controlling a pair (2) awg outputs. clock_select : The clock rate divisor which will be used to get the instruments clock rate from the lookup dictionary in quantify_scheduler.backends.zhinst_backend.DEVICE_CLOCK_RATES. For information see zhinst User manuals, section /DEV..../AWGS/n/TIME Examples: base sampling rate (1.8 GHz) divided by 2^clock_select. (default = 0) mode : The Instruments operation mode. (default = enums.InstrumentOperationMode.OPERATING) device_type : The Zurich Instruments hardware type. (default = DeviceType.NONE) This field is automatically populated. sample_rate : The Instruments sampling clock rate. This field is automatically populated. n_channels : The number of physical channels of this ZI Instrument. This field is automatically populated. """ name: str type: str ref: enums.ReferenceSourceType channels: List[Output] = field(init=False) channel_0: Output channel_1: Optional[Output] = None channel_2: Optional[Output] = None channel_3: Optional[Output] = None clock_select: Optional[int] = 0 channelgrouping: int = 0 mode: enums.InstrumentOperationMode = enums.InstrumentOperationMode.OPERATING device_type: DeviceType = DeviceType.NONE sample_rate: Optional[int] = field(init=False) n_channels: int = field(init=False) def __post_init__(self): """Initializes fields after initializing object.""" self.channels = [self.channel_0] if self.channel_1 is not None: self.channels.append(self.channel_1) if self.channel_2 is not None: self.channels.append(self.channel_2) if self.channel_3 is not None: self.channels.append(self.channel_3) if self.type[-1].isdigit(): digit = int(self.type[-1]) self.n_channels = digit device_type = self.type[: len(self.type) - 1] self.device_type = DeviceType(device_type) else: self.device_type = DeviceType(self.type) self.n_channels = 1
[docs]@dataclass class CommandTableHeader(DataClassJsonMixin): """ The CommandTable header definition. """ version: str = "0.2" partial: bool = False
[docs]@dataclass class CommandTableEntryValue(DataClassJsonMixin): """ A CommandTable entry definition with a value. """ value: int
[docs]@dataclass class CommandTableWaveform(DataClassJsonMixin): """ The command table waveform properties. """ index: int length: int
[docs]@dataclass class CommandTableEntry(DataClassJsonMixin): """ The definition of a single CommandTable entry. """ index: int waveform: "CommandTableWaveform"
[docs]@dataclass class CommandTable(DataClassJsonMixin): """ The CommandTable definition for ZI HDAWG. """ header: "CommandTableHeader" = field(init=False) table: List["CommandTableEntry"] def __post_init__(self): """Initializes fields after initializing object.""" self.header = CommandTableHeader()
[docs]@unique class QasIntegrationMode(Enum): """ Operation mode of all weighted integration units. NORMAL: Normal mode. The integration weights are given by the user-programmed filter memory. SPECTROSCOPY: Spectroscopy mode. The integration weights are generated by a digital oscillator. This mode offers enhanced frequency resolution. """ NORMAL = 0 SPECTROSCOPY = 1
[docs]@unique class QasResultMode(Enum): """UHFQA QAS result mode.""" CYCLIC = 0 SEQUENTIAL = 1
[docs]@unique class QasResultSource(Enum): """UHFQA QAS result source.""" CROSSTALK = 0 THRESHOLD = 1 ROTATION = 3 CROSSTALK_CORRELATION = 4 THRESHOLD_CORRELATION = 5 INTEGRATION = 7
[docs]class WaveformDestination(Enum): """The waveform destination enum type.""" CSV = 0 WAVEFORM_TABLE = 1
[docs]@dataclass class InstrumentInfo: """Instrument information record type.""" sample_rate: int num_samples_per_clock: int # number of samples per clock cycle (sequencer_rate) granularity: int # waveforms need to be a multiple of this many samples. mode: enums.InstrumentOperationMode = enums.InstrumentOperationMode.OPERATING sequencer_rate: float = field(init=False) def __post_init__(self): """Initializes fields after initializing object.""" self.sequencer_rate = self.num_samples_per_clock / self.sample_rate
[docs]@dataclass(frozen=True) class Instruction: """Sequence base instruction record type.""" waveform_id: str abs_time: float clock_cycle_start: int duration: float
[docs] @staticmethod def default(): """ Returns a default Instruction instance. Returns ------- Instruction : """ return Instruction("None", 0, 0, 0)
[docs]@dataclass(frozen=True) class Acquisition(Instruction): """ This instruction indicates that an acquisition is to be triggered in the UHFQA. If a waveform_id is specified, this waveform will be used as the integration weight. """ def __repr__(self): return ( f"Acquisition(waveform_id: {self.waveform_id}" f"|abs_time: {self.abs_time * 1e9} ns" f"|dt: {self.duration * 1e9} ns" f"|c0: {self.clock_cycle_start}" )
[docs]@dataclass(frozen=True) class Wave(Instruction): """ This instruction indicates that a waveform should be played. """ def __repr__(self): return ( f"Wave(waveform_id: {self.waveform_id}" f"|abs_time: {self.abs_time * 1e9} ns" f"|dt: {self.duration * 1e9} ns" f"|c0: {self.clock_cycle_start}" )