#IBM Quantum

[govindhtech]

Qiskit SDK v2.0 Released: A New Era For Quantum Developers

IBM unveils Qiskit SDK v2.0. In addition to improving speed, the second major version release lays the groundwork for additional tools and features in the coming months.

Qiskit release lifecycle summary

IBM will discuss Qiskit SDK v2.0's intriguing new features below. Qiskit SDK v2.0 may be more concerned with removing the old than introducing the new.

The Qiskit SDK adopted Semantic Versioning last year with the release of its first major version. This technique classifies releases as major, minor, and patch versions using the format. Significant version releases feature incompatible Application Programming Interface changes. In this transition, it committed to 18-month support cycles. Qiskit will preserve each major version for six months after its replacement is released, therefore a major version is only provided once a year and contains only breaking changes.

Best New Features & Enhancements

This page will cover the most important updates:

A new C API

A C-language API for SparseObservable is introduced in this major version. This new capability is only the start of a robust C interface for the Qiskit SDK; expect considerable extensions in the remaining v2.x series. Work is expected to aid the quest for quantum advantage and large-scale quantum experiments.

Removing obsolete features

Many minor versions in the v1.x series have deprecation warnings to help us improve the SDK. This major version removes all deprecated classes, functions, and modules.

Continuous performance improvements

Porting additional Qiskit SDK functionality to Rust has resulted in a 2x speedup for circuit construction benchmarking and a 20% speedup for translation benchmarking.

Introducing boxes and stretches

For future changes to dynamic circuits on IBM QPUs, Qiskit SDK v2.0 gives more circuit structure possibilities.

Revolutionising Change

Qiskit SDK v2.0 eliminates all deprecations IBM has indicated since v1.0 owing to its importance.

This is essential to the new, more stable release cycle introduced with Qiskit SDK v1.0 last year. Because of this, breaking changes only occur once a year, giving you adequate time to prepare with deprecation warnings in minor version releases. IBM will describe some of the key changes below, but the full release notes and migration guide provide the entire list of breaking changes and how to modify your projects.

First, some Qiskit SDK components were removed. The modules are qiskit.pulse, qobj, and assembler. The qobj and assembler modules were closely linked to the REST API specification for the previous IBM Quantum Experience, which was the forerunner of the current IBM Quantum Platform, and are now legacy paths, so their removal is part of transpiler interface cleanup.

Since they were based on IBM Quantum Experience, BackendV1, ProviderV1, and all associated models and utilities were removed from Qiskit SDK v2.0. This means all qiskit.providers.models objects and fake backend classes based on BackendV1 in fake_provider have been removed.

Primitive V1 implementations and aliases have been replaced with V2 ones. Remember that only Primitive V1 implementations, not definitions, were deleted. This elimination includes these classes:

Estimator prefers StatevectorEstimatorV2.

Sampler for V2 equivalent, StatevectorSampler

In favour of BackendEstimatorV2.

BackendSamplerV2 instead of BackendSampler

BaseEstimatorV1 was aliased.

BaseV1 was aliased as BaseSampler.

Eliminating Qiskit Pulse

One of the biggest changes to Qiskit SDK v2.0 is the removal of the pulse module. This is part of IBM Quantum QPUs' attempts to provide higher-level services for utility-scale experimentation and quantum advantage after removing Pulse-level control.

Qiskit Pulse provides hardware manipulation and pulse-level qubit data access, but it costs money. If you construct Pulse programs greater than 100 qubits, the data model becomes unmanageable and Qiskit Pulse's special operations are expensive. These inefficiencies have slowed IBM's hardware roadmap developments.

[manmishra]

🚀 Quantum Computing is Evolving FAST! ⚛️💡 🔥 Microsoft, Google & IBM are pushing the limits of computing power! 🖥️✨ 💎 Microsoft’s Majorana 1 chip introduces stable qubits, reducing errors! 🏆⚡ ⚡ Google’s Willow Chip completes tasks in MINUTES that supercomputers take septillion years to solve! 🤯⏳ 🔬 IBM is enhancing quantum AI, drug discovery & security! 🧪🔐 🌍 The future is QUANTUM! Are you ready? 🚀🔭 #QuantumComputing

[retrocgads]

USA 1993

[scissorhands-trustfall]

[wikipediapictures]

IBM Q System One

[sohaibsmart]

Amazon execs doubt Microsoft's quantum computing breakthrough

In This Story Final month, Microsoft (MSFT-1.51%) introduced that it created a brand new state of matter for its first quantum computing chip — a declare that Amazon (AMZN-1.15%) is reportedly not offered on. Trump freezes his 25% tariffs on Mexican imports for one month The identical day that Microsoft unveiled its Majorana 1 quantum computing chip, Amazon’s head of quantum applied sciences,…

[emerging-tech]

Quantum Computing: How Close Are We to a Technological Revolution?

1. Introduction Brief overview of quantum computing. Importance of quantum computing in the future of technology. 2. Understanding Quantum Computing Explanation of qubits, superposition, and entanglement. How quantum computing differs from classical computing. 3. The Current State of Quantum Computing Advances by major players (Google, IBM, Microsoft). Examples of quantum computing…

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[tundraglitch]

Free Courses on IBM Quantum Learning

IBM has launched a series of free course for learning the basics of quantum computing and how to use the IBM Quantum services (here the link).

At the moment I’m writing there are four courses:

Basics of quantum information

First unit in the series, the course explains the basis of quantum computing at a detailed mathematical level, it requires knowing a bit of linear algebra, but also fascinating subjects like: quantum teleportation (no, sadly it’s not like Star Trek) and superdense coding.

Fundamentals of quantum algorithms

This second unit explores the advantages of quantum computers over classical computers

Variational algorithm design

This course teaches how to write variational algorithms and how to use Qiskit, the IBM API for quantum computing.

Practical introduction to quantum-safe cryptography Quantum computers can do what a classical computer can’t: use brute force and be quick, so they can break common cryptography. This course teaches how to use encryption that cannot be break so easily.

[kittenkiwi]

Oh yes, they look hella cool. I have one at work but most of the time there is a cover around the processor to keep it cool

Technicians for scale

why did no one tell me quantum computers looked like that

[neosciencehub]

PPP Model: A New Blueprint for India's Quantum Ambitions @neosciencehub #PPPModel #IndiaQuantumAmbitions #APQuantumValley #neosciencehub

[retrocgads]

USA 1993

[squaredtechco]

🔥 IBM’s $150 Billion Quantum Bet Shakes Up U.S. Tech! 🔥

IBM is going all-in with a massive $150 billion investment to boost U.S. manufacturing and quantum computing—a game-changer for next-gen tech! 💻⚛️ Here’s the breakdown:

💡 Quantum Leap: IBM is doubling down on quantum tech to stay ahead of the curve.

🏛️ Political Moves: Strengthening ties with the U.S. government for future collaborations.

�� Big Risks, Bigger Rewards: IBM’s financial stability lets them take huge bets that could redefine tech.

Is this the start of a quantum revolution? 🤯 Let’s discuss!

[thelovebudllc]

Google, IBM are bullish on quantum computing chips. Is it for real?

While there are still differing perspectives on how long it will be until certain types of quantum computing hit commercial viability, experts from big tech companies like Google and IBM as well as smaller organizations like D-Wave Quantum and TreQ generally agree on quantum’s most mature, promising industry applications, which range from medical insights to last-mile delivery optimization. Yet,…

[affairsmastery]

Quantum computing stocks surged on Thursday as Microsoft’s breakthrough Majorana 1 chip, unveiled Wednesday, signaled the technology’s practical use may be closer than expected. The chip, touted as less error-prone than rivals, challenges Nvidia CEO Jensen Huang’s claim that quantum computing is “decades away.”

With evidence published in Nature, Microsoft joins Alphabet and IBM in believing the transformative tech—capable of solving problems in seconds that take traditional systems millions of years—is nearing reality. Despite a rocky start to 2024, with stocks down 18%-70% after January losses, the Majorana 1 chip has reignited optimism, positioning quantum computing as a potential game-changer for industries and cybersecurity.