Abstract: Some embodiments provide an interface unit interfacing with an irrigation controller, comprising: a housing; a controller configured to instruct an interruption of a watering schedule executed by the irrigation controller, the interruption based on one or both of sensed temperature and sensed rainfall amount, and based on one or both of user entered temperature and rainfall threshold parameters; a switching device coupled with the controller, and configured to cause the interruption in response to signaling from the controller; and a user interface comprising: a plurality of user input devices configured to provide signaling to the controller based upon user's engagement, and configured to allow the user to define the temperature and rainfall threshold parameters; and a user display comprising a display screen; wherein the controller is configured to cause the display screen to display a plurality of pictorial representations that in combination convey whether irrigation is being interrupted.

Abstract: A novel and useful system and method of generating quantum unitary noise using silicon based quantum dot arrays. Unitary noise is derived from a probability of detecting a particle within a quantum dot array structure comprising position based charge qubits with two time independent basis states |0> and |1>. A two level electron tunneling device such as an interface device, qubit or other quantum structure is used to generate quantum noise. The electron tunneling device includes a reservoir of particles, a quantum dot, and a barrier that is used to control tunneling between the reservoir and the quantum dot. A detector circuit connected to the device outputs a digital stream corresponding to the probability of a particle of being detected. Controlling the bias applied to the barrier controls the probability of detection. Thus, the probability density function (PDF) of the output unitary noise can be controlled to correspond to a desired probability.

Abstract: A novel and useful system and method of generating quantum unitary noise using silicon based quantum dot arrays. Unitary noise is derived from a probability of detecting a particle within a quantum dot array structure comprising position based charge qubits with two time independent basis states |0> and |1>. A two level electron tunneling device such as an interface device, qubit or other quantum structure is used to generate quantum noise. The electron tunneling device includes a reservoir of particles, a quantum dot, and a barrier that is used to control tunneling between the reservoir and the quantum dot. A detector circuit connected to the device outputs a digital stream corresponding to the probability of a particle of being detected. Controlling the bias applied to the barrier controls the probability of detection. Thus, the probability density function (PDF) of the output unitary noise can be controlled to correspond to a desired probability.

Abstract: A novel and useful system and method of quantum stochastic rounding using silicon based quantum dot arrays. Unitary noise is derived from a probability of detecting a particle within a quantum dot array structure comprising position based charge qubits with two time independent basis states |0> and |1>. A two level electron tunneling device such as an interface device, qubit or other quantum structure is used to generate quantum noise. The electron tunneling device includes a reservoir of particles, a quantum dot, and a barrier that is used to control tunneling between the reservoir and the quantum dot. A detector circuit connected to the device outputs a digital stream corresponding to the probability of a particle of being detected. Controlling the bias applied to the barrier controls the probability of detection. Thus, the probability density function (PDF) of the output unitary noise can be controlled to correspond to a desired probability.

Abstract: A novel and useful system and method of accelerated learning in neural networks using silicon based quantum dot arrays. Unitary noise is derived from a probability of detecting a particle within a quantum dot array structure comprising position based charge qubits with two time independent basis states |0> and |1>. A two level electron tunneling device such as an interface device, qubit or other quantum structure is used to generate quantum noise. The electron tunneling device includes a reservoir of particles, a quantum dot, and a barrier that is used to control tunneling between the reservoir and the quantum dot. Controlling the bias applied to the barrier controls the probability of detection. Thus, the probability density function (PDF) of the output unitary noise can be controlled to correspond to a desired probability. The quantum unitary noise is injected into one or more layers of an artificial neural network (ANN) to improve the learning and training process.

Abstract: A novel and useful system and method of quantum enhanced accelerated training of a classic neural network (NN). The quantum system implements an optimizer that accelerates training of the classic NN by exploiting the properties of quantum mechanics and manipulating the quantum system into a state that represents the complete state of the classic NN, including the loss function. The quantum system is then allowed to transition to its “optimum state” and the minimum energy state is read out from detectors and weight updates are calculated and fed back to the classic NN. Mapping and detection helper neural networks learn the characteristics of the quantum system structures. By averaging this over a number of images the learning weight or gradient of descent can be controlled to yield optimum neural network parameters. The time and energy required for training the classic NN as well as for inference is drastically reduced.