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Anonymousket

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QC Insights: A Guide to Quantum Computing

Power of Quantum Algorithms — Quantum Computing is a cutting-edge approach to computing altogether with an advanced computational paradigm by leverage the principles of quantum mechanics (describes how objects behaves at small scale, physics at the microscopic level and describing the behavior of an atom) to process and manipulate complex calculations more efficiently than classical…

Quantum Algorithms

4 min read

QC Insights: A Guide to Quantum Computing
QC Insights: A Guide to Quantum Computing
Quantum Algorithms

4 min read


May 1

DS Intro: Inferential statistics

why do we compute statistics? — In this article, we explore the different aspects of inferential statistics. Setup: why do we compute statistics? to describe the sample to estimate population parameters. to test hypotheses We have used the descriptive statistics to describe the sample, which is a subset of the population and also we discussed different…

Data Science

13 min read

DS Intro: Inferential statistics
DS Intro: Inferential statistics
Data Science

13 min read


May 1

DS Intro: Probability Theory

How randomness works in the system? — In this article, we explore the different aspects of probability theory. Setup: A sampling strategy is said to be truly random(unbiased) if every element in the population has an equal chance of becoming a part of the sample. The branch of Mathematics that deals with the chances and probability is…

Data Science

9 min read

DS Intro: Probability Theory
DS Intro: Probability Theory
Data Science

9 min read


May 1

DS Intro: Descriptive Statistics

What is the need of descriptive statistics? — In this article, we explore the different aspects of descriptive statistics. Setup: Statistics is the science of collecting, describing and drawing inferences from data. A population is the total collection of all objects that we are interested in studying. A sample is the total collection of all objects that we…

Data Science

11 min read

DS Intro: Descriptive Statistics
DS Intro: Descriptive Statistics
Data Science

11 min read


Dec 29, 2022

Quantum Opt’z: Portfolio Optimization

How to find the optimal portfolio for the given stocks? — In this article, we discuss about portfolio optimization to select the optimal solution using classical approach and IBM Qiskit library with Variational approach. Setup: Financial analysis is a critical tool to optimize investments in securities. It directly affects the quality of investment decisions made by an entity. …

Portfolio Optimization

7 min read

Quantum Opt’z: Portfolio Optimization
Quantum Opt’z: Portfolio Optimization
Portfolio Optimization

7 min read


Dec 29, 2022

Quantum Opt’z: Travelling Salesman Problem

How to find the optimized path for the TSP using Quantum computing? — In this article, we discuss about travelling salesman problem and we solve the problem to find the optimized route using variational method. Setup: To solve this problem we convert the problem similar to graph coloring problem. The traveling salesman problem (TSP) is to find a routing of a salesman who…

Quantum Algorithms

3 min read

Quantum Opt’z: Travelling Salesman Problem
Quantum Opt’z: Travelling Salesman Problem
Quantum Algorithms

3 min read


Dec 29, 2022

Quantum Opt’z: Graph Coloring

How to solve graph coloring using Quantum computation — In this article, we discuss about the application of the variational method we discussed in the previous article. we study the Graph coloring problem by using classical computation technique and also we explore quantum solution with a 5 step process and we walk through the QUBO Matrix generation. We achieve…

Graph Coloring

15 min read

Quantum Opt’z: Graph Coloring
Quantum Opt’z: Graph Coloring
Graph Coloring

15 min read


Dec 29, 2022

Quantum Opt’z: Constraints and Penalties

Equality, Inequality and constant P — In this article, we discuss about the quadratic Loss and it’s corresponding constraints to apply penalty over the QUBO problem. Also we discuss about the importance of the constant P. convert any constraint in to the form (expression) ≤ 0 f(x) -> 𝑥 ≤ 5 becomes: 𝑥–5 ≤ 0 If…

Quadratic Constraints

3 min read

Quantum Opt’z: Constraints and Penalties
Quantum Opt’z: Constraints and Penalties
Quadratic Constraints

3 min read


Dec 29, 2022

QIntro: Ising Model to variational Methods

The journey from ising model to quantum variational methods — In this article, we discuss about Ising Model, Quadratic Unconstrained Binary Optimization (QUBO) model, similarities between ising and QUBO model, Adiabatic theorem, QUBO model to Quantum Variational Methods. Ising Model: Ising Model is used to study phase transition in Magnetic systems. phase transition means interaction of near by spins.

Ising Model

6 min read

QIntro: Ising Model to variational Methods
QIntro: Ising Model to variational Methods
Ising Model

6 min read


Sep 14, 2022

QIntro: Lie Product Formula

How to perform decomposition of a matrix exponential? — In the previous article, we have discussed about the Schrodinger Wave Equation and mathematical framework. In this article, we discuss about how to decompose a Matrix exponential in the case of commutative and non-commutative. Also we have a look at the simple Quantum Approximation Algorithm. Setup: Decompose the Hamiltonian operator…

Trotterization

10 min read

QIntro: Lie Product Formula
QIntro: Lie Product Formula
Trotterization

10 min read

Anonymousket

Anonymousket

116 Followers

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