NoiseModel
- class pulser.noise_model.NoiseModel(runs=None, samples_per_run=1, state_prep_error=0.0, p_false_pos=0.0, p_false_neg=0.0, temperature=0.0, laser_waist=None, amp_sigma=0.0, detuning_sigma=0.0, detuning_hf_psd=(), detuning_hf_omegas=(), relaxation_rate=0.0, dephasing_rate=0.0, trap_waist=0.0, trap_depth=None, hyperfine_dephasing_rate=0.0, depolarizing_rate=0.0, eff_noise_rates=(), eff_noise_opers=(), with_leakage=False, disable_doppler=False)
Bases:
objectSpecifies the noise model parameters for emulation.
Supported noise types:
leakage: Adds an error state ‘x’ to the computational basis, that can interact with the other states via an effective noise channel. Must be defined with an effective noise channel, but is incompatible with dephasing and depolarizing noise channels.
relaxation: Noise due to a decay from the Rydberg to the ground state (parametrized by
relaxation_rate), commonly characterized experimentally by the T1 time.dephasing: Random phase (Z) flip (parametrized by
dephasing_rate), commonly characterized experimentally by the T2* time.depolarizing: Quantum noise where the state is turned into the maximally mixed state with rate
depolarizing_rate. While it does not describe a physical phenomenon, it is a commonly used tool to test the system under a uniform combination of phase flip (Z) and bit flip (X) errors.eff_noise: General effective noise channel defined by the set of collapse operators
eff_noise_opersand their corresponding rateseff_noise_rates.doppler: Local atom detuning due to termal motion of the atoms and Doppler effect with respect to laser frequency. Parametrized by the
temperaturefield. Can be disabled with thedisable_dopplerfield.register: Thermal fluctuations in the register positions, parametrized by
temperature,trap_waistand,trap_depth, which must all be defined.(1) Plane standard deviation fluctuation given by: \(\sigma^{xy} = \sqrt{\frac{T w²}{4 U_{trap}}}\), where T is temperature, w is the trap waist and \(U_{trap}\) is the trap depth.
(2) Off plane standard deviation fluctuation given by: \(\sigma^z = \frac{\pi}{\lambda}\sqrt{2} w \sigma^{xy}\), where \(\lambda\) is the trap wavelength with a constant value of 0.85 µm.
amplitude: Gaussian damping due to finite laser waist and laser amplitude fluctuations. Parametrized by
laser_waistandamp_sigma.detuning: Detuning fluctuations consisting of two components:
(1) constant offset (zero-frequency), parameterized by
detuning_sigma(2) time-dependent high-frequency fluctuations, defined by the power spectral density (PSD)
detuning_hf_psdover the relevantdetuning_hf_omegasangular frequency support. \(\delta_{hf}(t) = \sum_k \sqrt{2*\Delta \omega_k*\mathrm{PSD}_k} * \cos(\omega_k * t + \phi_k)\) where \(\phi_k \backsim U[0, 2\pi)\) (uniform random phase), and \(\Delta \omega_k = \omega_{k+1} - \omega_k\).SPAM: SPAM errors. Parametrized by
state_prep_error,p_false_posandp_false_neg.
- Parameters:
runs (
int|None, default:None) – When reconstructing the Hamiltonian from random noise is necessary, this determines how many times that happens. Not to be confused with the number of times the resulting bitstring distribution is sampled when calculating bitstring counts.samples_per_run (
int, default:1) – Number of samples per noisy Hamiltonian. Useful for cutting down on computing time, but unrealistic. Deprecated since v1.6, use only `runs`.state_prep_error (
float, default:0.0) – The state preparation error probability. Defaults to 0.p_false_pos (
float, default:0.0) – Probability of measuring a false positive. Defaults to 0.p_false_neg (
float, default:0.0) – Probability of measuring a false negative. Defaults to 0.temperature (
float, default:0.0) – Temperature, set in µK, of the atoms in the array. Also sets the standard deviation of the speed of the atoms. Defaults to 0.laser_waist (
float|None, default:None) – Waist of the gaussian lasers, set in µm, for global pulses. Assumed to be the same for all global channels.amp_sigma (
float, default:0.0) – Dictates the fluctuation in amplitude of a channel from run to run as a standard deviation of a normal distribution centered in 1. Assumed to be the same for all channels (though each channel has its own randomly sampled value in each run).detuning_sigma (
float, default:0.0) – Dictates the fluctuation in detuning (in rad/µs) of a channel from run to run as a standard deviation of a normal distribution centered in 0. Assumed to be the same for all channels (though each channel has its own randomly sampled value in each run). This noise is additive. Defaults to 0.trap_waist (
float, default:0.0) – The waist of each optical trap at the focal point (in µm). Defaults to 0.trap_depth (
float|None, default:None) – The potential energy well depth that confines the atoms (in µK). Defaults to None.detuning_hf_psd (
tuple[float,...], default:()) – Power Spectral Density (PSD) is 1D tuple (in rad/µs) provided together with detuning_hf_omegas define high frequency noise contribution of time dependent detuning (in rad/µs). Must either be empty or a tuple with at least two values, matching the length of detuning_hf_omegas. Default is ().detuning_hf_omegas (
tuple[float,...], default:()) – 1D tuple (in rad/µs) of relevant angular frequency support for the PSD. Along with the PSD, it is required to define high frequency noise contribution of time dependent detuning (in rad/µs). Must either be empty or a tuple with at least two values, matching the length of detuning_hf_psd. Default is ().relaxation_rate (
float, default:0.0) – The rate of relaxation from the Rydberg to the ground state (in 1/µs). Corresponds to 1/T1. Defaults to 0.dephasing_rate (
float, default:0.0) – The rate of a dephasing occuring (in 1/µs) in a Rydberg state superpostion. Only used if a Rydberg state is involved. Corresponds to 1/T2*. Defaults to 0.hyperfine_dephasing_rate (
float, default:0.0) – The rate of dephasing occuring (in 1/µs) between hyperfine ground states. Only used if the hyperfine state is involved. Defaults to 0.depolarizing_rate (
float, default:0.0) – The rate (in 1/µs) at which a depolarizing error occurs. Defaults to 0.eff_noise_rates (
tuple[float,...], default:()) – The rate associated to each effective noise operator (in 1/µs). Defaults to 0.eff_noise_opers (
tuple[ArrayLike,...], default:()) – The operators for the effective noise model. Defaults to 0.with_leakage (
bool, default:False) – Whether or not to include an error state in the computations (default to False).disable_doppler (
bool, default:False) – Whether or not to disable the doppler noise, even if the temperature is defined. In this way, ‘register’ noise (which requires ‘temperature’) can be activated on its own (i.e without doppler).
Attributes
amp_sigmadephasing_ratedepolarizing_ratedetuning_hf_omegasdetuning_hf_psddetuning_sigmadisable_dopplereff_noise_operseff_noise_rateshyperfine_dephasing_ratelaser_waistp_false_negp_false_posrelaxation_raterunssamples_per_runstate_prep_errortemperaturetrap_depthtrap_waistwith_leakagenoise_typesMethods
Deserialize a noise model from an abstract JSON object.
Serializes the noise model into an abstract JSON object.
Signatures
- static from_abstract_repr(obj_str)
Deserialize a noise model from an abstract JSON object.
- Parameters:
obj_str (str) – the JSON string representing the noise model encoded in the abstract JSON format.
- Return type:
- to_abstract_repr()
Serializes the noise model into an abstract JSON object.
- Return type:
str