124 skills found · Page 5 of 5
Quantum-Machine-Learning-Initiative / Learning PhasesSource code for the calculations behind the paper "Machine learning phase transitions with a quantum processor" (arXiv:1906.10155).
alejomonbar / LR QAOA QPU BenchmarkingIn this work, we use LR-QAOA protocol as an easy-to-implement scalable benchmarking methodology that assesses quantum processing units (QPUs) at different widths (number of qubits) and 2-qubit gate depths.
Mattbusel / Quantum Neural Network Model The Future Of AI CognitionQuantum computing is revolutionizing the way we think about processing power. Now, imagine applying the principles of quantum mechanics to a neural network—one that mimics and accelerates human cognition, surpassing current deep learning capabilities
LuukCoopmans / Qiskit Hackathon QIPWe are a team of 5 students (post and undergraduate) and postdocs taking part in the IBM Summer Jam Qiskit Hackathon hosted in UCD Dublin. In our project proposal we plan to look at quantum image processing with Qiskit.
josscimat / DIGITAL SIGNATURES NIST PQC BENCHMARKSBenchmarks of the NIST's Post Quantum Crypto Contest of Digital Signatures in Process of Standardization(CRYSTALS-DILITHIUM, FALCON, GeMSS, LUOV, MQDSS, PICNIC, qTESLA, RAINBOW, SPHINCS+)
jogisuda / QuantumSentenceTransformerQuantum-Enhanced Transfer Learning for Natural Language Processing
jayluxferro / QCIPQuantum Computing & Information Processing
marcusps / QIP.mA MATLAB package of useful function for quantum information processing (QIP) calculations
bendlikeabamboo / Qe LabQuantum ESPRESSO processing tool
amitQC / DROPStomoPython-based software package for performing Wigner quantum state and process tomography on near-term quantum devices.
anuvartika / Multilevel Queue SchedulingWrite a program for multilevel queue scheduling algorithm. There must be three queues generated. There must be specific range of priority associated with every queue. Now prompt the user to enter number of processes along with their priority and burst time. Each process must occupy the respective queue with specific priority range according to its priority. Apply Round robin algorithm algorithm with quantum time 4 on queue with highest priority range. Apply priority scheduling algorithm on the queue with medium range of priority and First come first serve algorithm on the queue with lowest range of priority. Each and every queue should get a quantum time of 10 seconds. Cpu will keep on shifting between queues after every 10 seconds i.e. to apply round robin algorithm OF 10 seconds on over all structure. Calculate Waiting time and turnaround time for every process. The input for number of processes should be given by the user. 23. Design a scheduler that uses a preemptive priority scheduling algorithm based on dynamically changing priority. Larger number for priority indicates higher priority. Assume that the following processes with arrival time and service time wants to execute (for reference): ProcessID Arrival Time Service Time P1 0 4 P2 1 1 P3 2 2 P4 3 1 When the process starts execution (i.e. CPU assigned), priority for that process changes at the rate of m=1. When the process waits for CPU in the ready queue (but not yet started execution), its priority changes at a rate n=2. All the processes are initially assigned priority value of 0 when they enter ready queue for the first time . The time slice for each process is q = 1. When two processes want to join ready queue simultaneously, the process which has not executed recently is given priority. Calculate the average waiting time for each process. The program must be generic i.e. number of processes, their burst time and arrival time must be entered by user.
KOSASIH / QuantumSageHarnessing quantum computing for advanced data analytics on Pi Network, QuantumSage offers tools for quantum machine learning algorithms, quantum data processing frameworks, and quantum-enhanced data visualization techniques, enabling insights from vast datasets.
DLR-RB / QUEASARSQUEASARS is an open-source, qiskit-based, python package implementing quantum variational eigensolvers which use evolutionary algorithms to find a good ansatz during the optimization process.
Jay-Patel-257 / Qhack 2022The variational quantum eigensolver (VQE) is generally used for finding the ground state energy of a given hamiltonian. To find the kth excited state energy of the hamiltonian we need to run the VQE optimization process at least k+1 times. Each time we also need to calculate the hamiltonian again, taking into account the state of the previous iteration. Even after that, the accuracy decreases as the value of k increases. The Subspace Search VQE (SSVQE) algorithm is used to find the kth excited-state energy of a hamiltonian in two subsequent optimization processes. Research on a more generalized version of SSVQE, namely Weighted SSVQE, shows that by using the weights as hyperparameters we can find the kth excited-state energy in just a single optimization process. There are two variants of this algorithm: Weighted SSVQE to find kth excited state energy, and weighted SSVQE to find all energies up to the kth excited state.
vedrocks15 / Quantum Convolutional LayersBuilding a custom class of quantum convolutional networks for feature pre-processing
cryos / OpenqubeOpen quantum processing library, read output files, generate MOs and electron density cubes.
aarontrowbridge / QuIPSQuantum Information Processing System
Marc-AntoineGenest / Quantum Dots Simulator And Image Processing ToolboxA one dimensional quantum dots simulator and image processing toolbox impleted in matlab
emirhanai / Quantum With 6G Technology In Computer Vision On AIProcessed 2 class land use image datasets with quantum computer accompanied by quantum neural network in a manner compatible with 6G.
Agnuxo1 / QuBE"QuBE: Illuminating the Path to Quantum-Optical Maze Mastery" Abstract This document introduces an innovative approach to solving mazes and complex optimization problems by combining advanced principles of optical and quantum physics within a three-dimensional neural processing system, the Quantum Beam Engine (QuBE).
