#quantum-algorithms

🚀 𝟯𝟬 𝗗𝗮𝘆𝘀 • 𝟯𝟬 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 𝗼𝗳 𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 | 𝗗𝗮𝘆 𝟭𝟴

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양자컴퓨팅, IT쟁이의 눈으로 다시 보기 (4)

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Quantum Computing, Seen Through the Eyes of an Old IT Guy (Part 4)

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The Backtest Is the Ceiling. Live Trading Is the Truth.

The Future of Computing Is Arriving Faster Than Many People Realize

Quantum computing has moved beyond research laboratories and theoretical physics discussions. Major technology companies, financial…

Wily E. Coyote’s Favorite Quantum Lab

This is why education is so important.

The Fault in our Qubits

What It Would Actually Take to Break RSA with a Quantum Computer

Quantum Algorithms The Real Power Behind Quantum Computing

Most people think quantum computing is still far away. Many believe it will take 10 or more years before it becomes useful. That idea is…

Quantum Computing Breakthrough: The Science Behind The Below Threshold Miracle 🌌

Introduction

Sometimes It’s Too Slow… for Shor!!

Factoring Numbers on a 133/156-Qubit Quantum Computer: A Deep Dive into Shor’s Algorithm on Quantum Hardware

Reality > Rhetoric. Customers + revenue = truth.

Following up from my “I’m making a big change” post — I want to give an update. Since we were in our quiet period, I haven’t spoken much…

Why Grover and Shor Didn’t “Change Everything” Yet

Realities, limitations, and common misconceptions about quantum algorithms

What does THAT mean?

The Quantum Dragon has two new tutors.

Article 3: From Spins to Qubits — The Quantum View of Max-Cut

This is the final and in continuation of previous article…

Article 2: From Max-Cut to the Ising Model — When Graphs Meet Physics

This is in continuation to the earlier article…

Quantum Computing Combinatorial Optimization Article 1: Max-Cut — The Simplest Hard Problem You…

This would be a series of articles, I am planning to write based on the notes I have made on the subject matter. Hope it helps others as…

Quantum Phase Estimation: The Algorithm Beneath the Algorithms

How quantum computers learn hidden values without measuring them directly.

The Quantum Fourier Transform: Why Shor Works

How changing perspective reveals hidden patterns

The Quantum Approximate Optimization Algorithm (QAOA) and the Financial Mind

The Quantum Approximate Optimization Algorithm — QAOA — is a hybrid creature, half-classical, half-quantum, born from the restless…

VQE & QAOA in Python: A Step‑by‑Step PyMC Variational Guide

Learn to build VQE and QAOA in Python using PyMC’s variational API — step by step workflows, ADVI/ELBO tracking, callbacks, and a Max Cut…

Quantum Sundays |25⟩ Qiskit - A Full-Stack Software Development Kit for Quantum Computing

An in-depth technical examination of the architectural components, programming paradigms, algorithmic implementations, and error mitigation…

Why Does the Variational Quantum Eigensolver (VQE) Matter?

INTRODUCTION

Quantum Algorithms

Imagine three “video‑game power‑ups”

Deutsch’ Algorithm

A brief introduction to Deutsch’ Algorithm with a detailed workout.

Quantum Phase Estimation: the Math Behind the Circuit

In a previous article, the quantum Fourier transform (QFT) was discussed and complemented by a mathematical deep dive. Quantum phase…

Variational Quantum Eigensolver

The Variational Quantum Eigensolver (VQE) is a method for determining eigenvalues and requires significantly fewer qubits compared to other…

Demystifying Deutsch’s Algorithm: Constant vs. Balanced Functions

Introduction:

Enhance variational quantum algorithms with Qiskit Pulse and Qiskit Dynamics

By Zhiding Liang, Jinglei Cheng, and Hanrui Wang