Quantum Curiosity: Exploring the Lesser-Known Impacts of Quantum Computing

Adeel AslamLast Updated on October 29, 2026

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Key Takeaways

Quantum computers use qubits to tackle specific problems, such as molecule simulation, but remain early-stage and error-prone, so classical computers stay the better choice for most tasks.

A qubit can be 0, 1 or a superposition of both until measured, and measuring always gives a single 0 or 1.
Quantum computers do not check every answer at once. Algorithms use superposition and interference to make useful answers more likely when qubits are measured.
Applications such as traffic routing, drug research and climate chemistry are early experiments or research projects, and none is a deployed quantum advantage yet.
Current quantum computers cannot break encryption, but NIST finalized its first post-quantum standards in August 2024, and the UK NCSC advises system owners to plan migration.
Error-prone hardware, scarce talent and costly, hard-to-use access keep practical uses narrow, so most results so far are research steps.
Beginners can run a first Q# program on Microsoft's free, open-source QDK simulator without an Azure account. An account is needed only for real hardware.

Run a first program on the QDK simulator, then choose a developer or research path.

Quantum computers use qubits to work on certain problems that classical computers struggle with, such as simulating molecules. They are not faster at everything, and for most everyday tasks classical computers are expected to stay the better choice. This guide to quantum computing for beginners explains qubits, superposition and entanglement in plain language. It also covers realistic uses and their limits, what quantum computing means for encryption, and a free way to run a first program on a simulator. No physics background is needed.

A Brief History of Quantum Computing

Quantum computing has come a long way in a short time. Here's a quick look at some key moments:

In the 1980s, physicists such as Richard Feynman and David Deutsch suggested that computers based on quantum mechanics could solve problems classical computers can't.
In 1994, Peter Shor invented Shor's algorithm, showing that quantum computers could factor large numbers much faster than regular computers. This got people thinking about quantum computing's impact on security.
In 1996, Lov Grover created Grover's algorithm, which speeds up searching through databases.
In 2001, IBM and Stanford ran the first simple quantum algorithm (Shor's) on a basic quantum computer.
In 2011, D-Wave claimed to sell the first commercial quantum computer.
In 2019, Google announced "quantum supremacy," saying its quantum computer solved a problem faster than the best supercomputers.
In the 2020s, big tech companies such as IBM, Google and Microsoft, along with startups, kept building better quantum computers and making them available online.

Recent Quantum Computing Progress

These milestones show where the hardware stood by 2024.

In November 2022, IBM unveiled its 433-qubit Osprey processor. At launch, it had the largest qubit count of any IBM quantum processor.
In 2023, Google announced progress on error correction, a key step toward making quantum computers more reliable.
In April 2024, Microsoft and Quantinuum created four logical qubits from only 30 physical qubits and demonstrated an 800x improvement in error rate. At the time, these were described as the most reliable logical qubits on record.
Simulating molecules is still a promise that researchers are working toward. Microsoft describes this as a promise because qubits can represent the natural quantum states of molecules.
More companies and universities are offering cloud access to quantum computers, so anyone can try them from anywhere in the world.

The hardware is still early and qubits remain error-prone, so most of these results are research steps toward practical machines.

What Is Quantum Computing? (A Simple Analogy)

A quantum computer is a machine that uses qubits, which follow the rules of quantum mechanics, to work on certain problems that are hard for regular computers. It is built for specific kinds of problems and does not work by trying every answer at once.

Take the search for a book in a giant library. A regular computer is like a fast librarian who checks each book one after another. A quantum computer does not check all the books at once. IBM's explainer "What is quantum computing?" notes that qubits don't test multiple paths at once. A quantum algorithm uses superposition and interference to make the right answers more likely to appear when the qubits are measured.

Qubits, Superposition and Entanglement

Regular computers store information in bits, and each bit is either 0 or 1. A qubit can be 0, 1 or a superposition of both until it is measured.
Entangled qubits are correlated, so measuring one gives information about the other, even when they are far apart. Changing one qubit does not remotely change the other.
Measuring a qubit always gives a single 0 or 1. Quantum algorithms are designed so that this final reading is likely to be a useful answer.

A coin shows the idea. A flipped coin that has landed is either heads or tails. A qubit is closer to a coin still spinning in the air: it has a chance of landing either way, and you only get one result, heads or tails, when you catch it and look.

Quantum speedups apply to specific problem types, such as simulating molecules and some search and optimization problems. For most kinds of tasks, classical computers are expected to remain the best choice. Encryption is a separate case, covered in the section on whether quantum computers can break encryption.

Quantum Computing Applications With Real Examples

The examples below are early experiments and research projects, and none of them is a deployed quantum advantage yet.

1. Smarter Cities and Traffic

Traffic routing is an optimization problem with many cars, routes and signals. Route optimization is one of the problem types researchers are testing on quantum computers, but qubits do not check every route at once, and classical computers are expected to remain the best tool for most tasks.

Volkswagen announced a cooperation with D-Wave Systems in March 2017 and used data from about 10,000 taxis in Beijing to test traffic-flow optimization. According to Volkswagen's own report, the project showed that quantum computing could help plan routes that reduce traffic.

Drawing a map of your neighborhood and counting the routes from home to the store shows how quickly options add up. Repeat that for every driver in a city and the number of combinations grows far beyond what is easy to check, which is why route planning is a candidate problem for quantum methods.

2. Faster Package Delivery

Delivery companies plan thousands of routes every day. Quantum computers could one day help with some of these routing problems, but this is still a research question.

3. Medical Breakthroughs

Finding new medicines is like looking for a needle in a haystack. Quantum computers could one day help by simulating how molecules interact, because qubits can represent the natural quantum states of molecules.

In 2020, Roche and Cambridge Quantum Computing teamed up to use quantum computers for drug discovery, hoping to speed up the search for treatments for diseases such as Alzheimer's by simulating molecules that regular computers can't handle.

4. Fighting Climate Change

Better chemistry modeling could help with materials for clean energy and carbon capture. In 2022, Microsoft, ETH Zurich and the Pacific Northwest National Laboratory presented an automated chemistry workflow that runs on classical high-performance computing in Azure. New methods for carbon fixation are one potential goal of that work.

Can Quantum Computers Break Encryption?

Not today. The UK National Cyber Security Centre (NCSC) says current quantum computers are still limited and have relatively high error rates in each operation they perform.

NIST's 2024 announcement of its first finalized post-quantum encryption standards explains that encryption relies on math problems conventional computers find difficult or impossible to solve, and that a large quantum computer could break current encryption. NIST finalized those first standards on 13 August 2024, with FIPS 203 (ML-KEM) as the primary standard for general encryption.

The NCSC says most public-key algorithms in use today will be vulnerable to a cryptographically relevant quantum computer, and it advises system owners to plan their migration to post-quantum cryptography.

Banks and other online services will move to these new standards over time. Organizations that handle sensitive data should plan that migration with their security team.

Two Coin Exercises for Superposition and Entanglement

1. Superposition Game

Take two coins, flip them both and cover them. There are four possible results (HH, HT, TH, TT). Two qubits can be in a superposition of all four outcomes, but measuring them gives just one result, in the same way that uncovering the coins shows only one pair.

2. Entanglement Exercise

Pair up with a friend. Each of you flips a coin, and you agree that if one coin shows heads, the other is recorded as tails. However far apart you are, your results always disagree. This agreement shows correlation, while real entanglement is a quantum correlation that classical coins cannot fully copy.

Which Industries Could Quantum Computing Affect?

Finance could use quantum computers to spot fraud or make better investment decisions.
Healthcare could see faster drug discovery and better tests if molecular simulation on quantum hardware matures.
Logistics could get smarter delivery routes and supply chains.
Energy could benefit from research into better batteries and cleaner energy.

For most people, the first noticeable effect will be the move to post-quantum encryption, and NIST finalized its first post-quantum standards in August 2024.

What Limits Quantum Computing Today

Qubits are error-prone, and today's quantum computers are still limited, so practical uses remain narrow. The main limits fall into three areas:

Hardware is delicate, and today's quantum computers make mistakes, which is why error correction gets so much research attention.
Talent is scarce, and the field needs more people who understand both quantum physics and real-world problems.
Access is still hard, because quantum computers are expensive and not easy to use yet.

Free, open-source tools such as Microsoft's Quantum Development Kit include simulators, so you can start learning without quantum hardware, and many groups and schools offer free online courses.

How to Start Learning Quantum Computing

1. Watch a Beginner Explainer Video

Search YouTube for "quantum computing explained simply" to see qubits, superposition and entanglement shown with diagrams and examples.

2. Run a First Program in the Free Microsoft QDK Simulator

Microsoft Learn's "What is Azure Quantum?" page states that the Quantum Development Kit (QDK) is free and open source and does not need an Azure account. As of October 2026, the steps are:

Open the QDK in VS Code for the Web with nothing to install, or install the QDK extension in VS Code Desktop for the full set of features.
Write a short Q# program and run it on the built-in quantum simulator.
If you work in Python, use the QDK Python package to call Q# from Python programs or Jupyter notebooks and run them on the built-in simulators. The QDK also supports Qiskit, Cirq and OpenQASM.
To run programs on real hardware through Azure Quantum (for running on real hardware), you need an Azure account and an Azure Quantum workspace.

3. Join a Quantum Computing Community

Connect with others interested in quantum computing:

These groups are good places to ask questions, share what you learn and follow new results as they come out.

Quantum Computing Careers and the Skills They Need

Quantum teams hire for several kinds of roles. These are the common ones.

1. Quantum Software Developer / Programmer

Most developers have a bachelor's or master's degree in computer science, physics, math or a similar field. The core skills are programming in Python, Q# and Qiskit, algorithms, linear algebra and basic quantum mechanics. The IBM Quantum Developer Certification, an exam offered on the Pearson VUE platform, is one way to show quantum programming skills.

2. Quantum Algorithm Researcher

This role usually calls for a master's or PhD in physics, computer science, math or engineering, plus research experience. The work centers on quantum algorithms, theoretical computer science and advanced math, and online courses from edX, Coursera and Microsoft Learn can fill gaps.

3. Quantum Hardware Engineer

Hardware engineers usually hold a bachelor's, master's or PhD in electrical engineering, physics or materials science. The job draws on electronics, cryogenics, device building and experimental physics, so lab experience and hardware-focused quantum courses count for a lot.

4. Quantum Information Scientist

A master's or PhD in physics, math or computer science is typical, often with specialized quantum information courses. The work covers quantum information theory, cryptography and research.

5. Quantum Product Manager / Evangelist

A bachelor's or master's in computer science, engineering, business or a similar field works here. Project management certifications such as PMP help, along with communication skills, business analysis and enough technical understanding to explain the technology.

6. Quantum Application Scientist / Solutions Architect

This role usually needs a bachelor's or master's in computer science, physics or engineering, plus cloud certifications (Azure, AWS) and quantum programming courses. Day to day, it involves working with clients, writing quantum programs, using cloud platforms and designing solutions.

Skills Every Quantum Role Shares

Curiosity and willingness to learn
Analytical thinking
Teamwork and communication
Familiarity with quantum computing platforms such as Microsoft Azure Quantum and IBM Quantum

Study Plan Tips for Computer Science Undergraduates

If you're studying computer science and want to get into quantum computing, here's what you can do:

What Computer Science Students Should Study

Core courses in linear algebra, probability and statistics, algorithms, data structures, discrete math and basic physics
Electives in quantum computing, quantum information, computational physics, cryptography and advanced math
Programming in Python (for Qiskit) and Q# (for the Microsoft QDK), using Jupyter notebooks
Projects such as quantum hackathons, open-source quantum projects or a final-year project on quantum computing
Online learning through Microsoft Learn, IBM Quantum, edX or Coursera
Internships at companies or labs working on quantum computing
Community through quantum clubs, online forums, webinars and conferences

What a Quantum Study Plan Gives You

A strong base in both classical and quantum computing
A portfolio of quantum projects to show employers
Contacts with people already working in the field
Readiness for further study or a first job in quantum computing

Where to Start With Quantum Computing

Quantum computing is an early-stage technology that helps with specific problem types, such as simulating molecules and some optimization problems. Classical computers are expected to remain the best choice for most tasks. The main caveat is that today's qubits are error-prone, so most results so far are research milestones.

The most useful next step is to run a first Q# or Qiskit program on the free QDK simulator, which needs no Azure account. Once superposition and measurement make sense in code, pick a path. Developer roles lean on programming in Q# or Qiskit, and research roles usually need a graduate degree and stronger math.

If your team needs software engineering help with optimization, simulation-heavy or security work, talk to the Arbisoft team.

Quantum Computing FAQs

Will quantum computers replace regular computers?

No. Classical computers are expected to remain the best choice for most kinds of tasks. Quantum computers suit specific problems, such as simulating molecules and some search and optimization problems. For everyday work on a laptop, phone or web server, a classical computer stays the right tool.

Can quantum computers break encryption today?

No. Current quantum computers are still limited and have relatively high error rates in each operation. A future large quantum computer could break today's public-key encryption, so NIST finalized its first post-quantum standards in August 2024. The NCSC advises system owners to plan their migration to post-quantum cryptography.

Do I need an Azure account to try quantum programming?

No. Microsoft's Quantum Development Kit is free and open source. You can use it in VS Code for the Web without installing anything or creating an Azure account, and Q# programs run on its built-in simulator. You need an Azure account and an Azure Quantum workspace only to run jobs on real hardware through Azure Quantum.

Is there a quantum computing certification for beginners?

Yes. IBM offers the IBM Quantum Developer Certification, an exam taken on the Pearson VUE platform and aimed at quantum developers. Running a few programs on a simulator first is good preparation for either.