set the channel description: Discussion channel for S2LAL, Q2LAL, nRERL adiabatic logic

set the channel topic: Discussion channel for S2LAL, Q2LAL, nRERL adiabatic logic

Q2LAL http://www.zettaflops.org/CATC/Q2LAL.pdf nRERL "nMOS reversible energy recovery logic for ultra-low ... - IEEE Xplore." http://ieeexplore.ieee.org/document/845190/ S2LAL "Perfectly Adiabatic CMOS Logic - Sandia National Laboratories." https://cfwebprod.sandia.gov/cfdocs/CompResearch/docs/UKy-talk+SAND-v2.pdf

@Tim Edwards has left the channel

Growing awareness of the possible consequences of greenhouse gas emissions has led to increased investment in the search for technologies with the potential to reduce such emissions. The significant increase in patenting in related fields and the need to be able to retrieve this information easily has resulted in the development of Y02, the new classification scheme for climate change mitigation technologies.

DEEE-ME Test chip with Tufts U "HotGuage" (HotSpot) thermal sensors

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on-chip thermal sensors

[PDF] Symbolic Execution of Hadamard-To oli Quantum Circuits J Carette, G Ortiz, A Sabry - 2023 The simulation of quantum programs by classical computers is a critical endeavor for several reasons: it provides proof-of-concept validation of quantum algorithms; it provides opportunities to experiment with new programming abstractions suitable for … Symbolic Execution of Hadamard-Toffoli Quantum Circuits J Carette, G Ortiz, A Sabry - Proceedings of the 2023 ACM SIGPLAN International …, 2023 The simulation of quantum programs by classical computers is a critical endeavor for several reasons: it provides proof-of-concept validation of quantum algorithms; it provides opportunities to experiment with new programming abstractions suitable for … Posted in #adiabatonauts

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https://dspace.mit.edu/bitstream/handle/1721.1/7058/AITR-1500.pdf?sequence=2 Asymptotically Zero Energy Computing Using Split􏰀Level Charge Recovery Logic by Saed G􏰅 Younis Posted in #adiabatonauts

# ChatGPT prompt: Write a pyspice AC tank ladder oscillator # for adiabatic computational circuitry that will run in google colab # and produce a plot of the oscillator output !apt-get install -y libngspice0-dev !pip install PySpice import matplotlib.pyplot as plt import numpy as np from PySpice.Spice.Netlist import Circuit from PySpice.Unit import * # Create a new circuit circuit = Circuit('LC Oscillator') # Define the ladder network parameters n = 5 # number of stages L_value = 1@u_mH C_value = 1@u_uF # Add the ladder network to the circuit for i in range(n): circuit.L(i+1, 'n{}'.format(i), 'n{}'.format(i+1), L_value) circuit.C(i+1, 'n{}'.format(i+1), circuit.gnd, C_value) # Add a sinusoidal voltage source as input circuit.SinusoidalVoltageSource(0, 'n0', circuit.gnd, amplitude=1@u_V) # Perform an AC analysis simulator = circuit.simulator(temperature=25, nominal_temperature=25) analysis = simulator.ac(start_frequency=1@u_Hz, stop_frequency=1@u_GHz, number_of_points=500, variation='dec') # Plot the output plt.figure(figsize=(10, 6)) plt.title("LC Oscillator Output") plt.plot(np.log10(analysis.frequency), np.abs(analysis['n5'])) plt.xlabel('Log Frequency [Hz]') plt.ylabel('Voltage [V]') plt.grid() plt.show()