• Skip to main content
  • Skip to secondary menu
  • Skip to footer

Technologies.org

Technology Trends: Follow the Money

  • Technology Events 2026-2027
  • Sponsored Post
  • Technology Markets
  • About
    • GDPR
  • Contact

Quantum Machines Announces QUA as First Standard Universal Language for Quantum Computers

June 18, 2020 By admin

The new language enables researchers to run any type of quantum program and combine it with classical processing

Quantum Machines, creator of the first complete hardware and software solution for the control and operation of quantum computers, announced today the launch of QUA as a standard universal language for Quantum Computing. QUA allows researchers to intuitively program even the most complex quantum programs that are tightly integrated with classical processing and real-time decision-making. The language is the first to address all requirements of an anticipated quantum computing software abstraction layer.

A primary challenge with quantum research and development today is that every quantum computer has its own unique hardware, coded in the researchers’ language of choice. The unique nature of every system results in teams spending inordinate amounts of time coding and programming new programs and algorithms, with any variation requiring either restarting the process or even re-routing the control hardware itself. The resulting process is extremely time-consuming and difficult to scale to more complex systems and algorithms.

QUA is a pulse-level programming language for quantum devices, and the first language designed specifically as a universal quantum computing software abstraction layer. To achieve this, several different criteria had to be fulfilled to fit the distinct structure of quantum algorithms and quantum programming: semantical, technological, commercial and qubit agnostic.

From a semantic perspective, QUA is the first language to combine universal quantum operations at the pulse-level, together with universal classical operations, namely, Turing-complete classical processing, and comprehensive control-flow. From a technological and commercial perspective, QUA was developed to be extremely intuitive while relying on QM’s proprietary compiler, XQP, to do the heavy lifting for optimizing the many entangled quantum and classical operations. XQP compiles quantum programs to QM’s Pulse Processor assembly language which can then run them with extremely low latencies and precision. Finally, QUA is qubit agnostic and supports all quantum processors.

Quantum computers are nothing like any other computer we use today. However, for the inception of QUA and its compiler XQP, inspiration was drawn from classical counterparts which have become standards or widely established across the computing industry, such as NVIDIA’s CUDA, Intel’s X86, and Google’s TensorFlow. These three languages are significantly different in nature, illustrating the complexity and distinct approach required for quantum computing.

Used as part of Quantum Machines’ existing Quantum Orchestration Platform, QUA is a universal language. Its beta version has already been adopted by leading teams in multinational corporates, startups, national-labs, and academic institutions that develop quantum computers based on the entire spectrum of quantum hardware available today including superconducting qubits, trapped ions & atoms, NV centers, quantum dots, and topological qubits. It is the combination of QUA’s capabilities with an actual underlying processor, QM’s Pulse Processor, which allows for QUA’s fast adoption across the emerging quantum industry.

“As the field of quantum computing continues to progress and grow more complex, teams across the industry need solutions that can scale to meet their growing needs,” said Itamar Sivan, CEO of Quantum Machines. “QUA is the first-ever programming language designed with the needs of quantum research in mind and offers teams a powerful and intuitive language designed not only for their present needs but also those of the future.”

“We are extremely excited to introduce QUA,” said Yonatan Cohen, co-founder and CTO of Quantum Machines. “With QUA, teams can run even the most complex quantum-error-correction and hybrid quantum-classical algorithms, right ‘out-of-the-box’. It is a true paradigm shift that we see drastically impacting each and every one of our customers.”

About Quantum Machines
QM’s full-stack Quantum Orchestration Platform enables an entirely new approach to controlling and operating quantum processors. Capable of running even the most complex algorithms – from near-term applications of quantum computers to challenges of quantum-error-correction – the Quantum Orchestration Platform allows users to realize the potential of all quantum processors right out of the box via its powerful, yet intuitive, programming language QUA.

SOURCE Quantum Machines
https://www.quantum-machines.co/

Filed Under: Tech

Footer

Recent Posts

  • Braid Raises $38 Million to Put Branded eSIM Plans Inside Travel and Banking Apps
  • Cognizant Puts 25,000 Staff Behind OpenAI as IT Services Firms Become the Delivery Channel for Enterprise AI
  • Rapidus Taps HCLTech Engineers in India as Japan’s 2nm Foundry Still Hunts for Its First Signed Customer
  • XGIMI AURA 3 Projector Raises $15 Million on Kickstarter in 23 Hours as Brands Turn Crowdfunding Into Pre-Orders
  • Group14 Raises 150 Million Euros and Picks Spain for Its Next Silicon Anode Plant While Moses Lake Waits for 2027
  • Collective, Wabi and AvalonX Raise $165 Million as OPay Pulls Its $304 Million NYSE IPO on Debut Day
  • Bose Buys Skullcandy to Reach Younger, Budget Headphone Buyers Its Own Brand Misses
  • Sony Shrinks a 0.51 Megapixel Image Sensor to 1 mm Square for Disposable Endoscopes, With Digital Output Over 5 Meters
  • Whop Raises $200 Million at a $5.1 Billion Valuation as Sequoia and Shopify Ventures Bet on AI-Run Creator Businesses
  • Visa, Gurobi and ISG Data Show AI Use Has Gone Mainstream While Trust to Let It Act Still Lags

Media Partners

  • Market Analysis
  • BareProxy.com
  • App Coding
Semicap Pulse Reads 48.5 Steady as Chip Equipment Stocks Slump While Orders and Exports Run Hot
Memory Cycle Gauge Reads 82 Shortage as Micron Stock Breaks Trend While Supply Stays Sold Out
AI Market Analyzer Falls to 31.8 Cooling as Price Gauges Hit AI Winter and Leverage Stays Greedy
AI Capex Tracker November 2026, Hyperscalers Spend $237 Billion in One Quarter as Free Cash Flow Turns Negative
The Collingridge Dilemma
The Sum of All Fears Hits Markets as Gold Sinks to One-Year Low and Silver Slips Below $50
IBM Will Never Be the Company It Used to Be
Alphabet Q3 2026 Earnings and the 12% Search Growth That Matters More Than the SpaceX Miss
Marvell Falls 8% on Lumentum Takeover Talks Because the Deal Can Only Be Paid in Stock
Seagate, Teradyne and Corning Beat on AI Demand and Two of Them Still Fell
BareProxy Adds AI Crawler Control That Tells Real GPTBot and ClaudeBot Requests From Fakes
BareProxy Adds Bot Challenges That Make Scrapers Posing as Browsers Solve a Puzzle First
BareProxy Adds Cookie Consent That Holds Back Tracking Cookies Until a Visitor Says Yes
BareProxy Adds Markdown Serving That Turns Markdown Files Into Web Pages With No Build Step
BareProxy Ships Its First Nine Plugins, From Maintenance Pages and CORS to Geo Rules and Rate Limits
BareProxy 0.2.0 Runs WebAssembly Plugins Through the Proxy-Wasm Interface
BareProxy 0.3.0 Writes Its Plugins in Rust, Where a Plugin Adds 15 Microseconds Instead of 42
BareProxy Is an Operating System for Web Traffic: A Small Core and a Long Stream of Plugins
BareProxy Plugins Go WebAssembly, Starting With RenderCache and AI Crawler Control
BareProxy Runs on Linux, macOS and Windows, and One Plugin File Runs on All of Them
Claude Code on GitLab vs GitHub: Thinner Integration and a Fifth of the Free CI Minutes
How k4i.com Publishes Posts Unattended With Small AI Models, Groq and GitHub Actions
How to Ship In-Browser AI Apps With No Server and No Inference Bill
Microsoft Authenticator Android Flaw Shows Why Apps Must Verify Who Is Calling Them
Zero-Budget AI Apps Work Best as Self-Feeding Sites, Not Open Tools
A Useful Software Primitive Should Be Easy to Explain and Hard to Replace
Apple's US Link-Out Fee Is Zero Until a Judge Sets It, and Apple Is Asking for Up to 15%
20 Primitive Project Ideas: Tiny Go Engines That Do the Essential 10% of Redis, Kafka and Etcd
40 Projects Worth Building: SQLite for X, Tiny Infrastructure, MCP Tools and Edge Systems
40 Radically Different Infrastructure Primitives, From Reach and Expect to Ignorance and Stop

Media Partners

  • AltSql.com
  • Technology Conferences
  • API Coding
AltSql Is a Native Hybrid of Key-Value and SQL, From the Sensor to the Gateway
AltSql Core and AltSql DB Are Now Open Source Under the Apache License 2.0
Introduction
AltSql DB 0.3 Adds Secondary Indexes and Statement Savepoints: A Lookup on a Million Rows Ran 198 Times Faster Than a Full Scan
How It Works
AltSql DB 0.2: SQL and Direct Calls Wrote Byte-Identical Files Over 100,000 Random Steps
AltSql DB Keeps a Whole Fleet in One File and Reads by Key 5 Times Faster Than SQLite Through SQL
AltSql Core and Six Prototypes Built Around It
AltSql Ask Puts One SQL Question to 500 Simulated Machines and Brings Back Only the Answers
Machine Monitoring Case Study: Overheat Alarm Handled on the Sensor While Wi-Fi Was Down
ISC East 2026, November 3-5, Javits Center, New York
Cantor Convergence 2026, November 10-12, The Ritz-Carlton South Beach, Miami Beach
MATLAB EXPO Online 2026, November 4-5, Online
SGLang Summit 2026, November 12-13, Fort Mason Center for Arts and Culture, San Francisco
Visual Semiconductor and INCERGO at CES 2027, January 6-9, Las Vegas Convention Center, Las Vegas
Conferences Are Theatre and the Hallway Is the Product
SoftDevStudio.com at Web Summit 2026, November 9-12, MEO Arena and FIL, Lisbon
Bodor Laser Brings Integrated Tube Processing to EuroBLECH 2026
Cloudflare Connect 2026 Reportage, October 19-21, Moscone West, San Francisco
International Test Conference 2026, October 11–16, Grand Hyatt San Antonio River Walk, San Antonio
RFC 9457 Problem Details Gives API Errors One Shape Instead of Fifty Ad Hoc JSON Bodies
Idempotency Keys: How One Header Stops a Retry From Charging a Customer Twice
A Tiny ETL Binary Competes With curl, jq and SQLite in a Cron Job, So Build It That Small
An AI Agent Flight Recorder Belongs in One Portable File, the Way HAR Did It for HTTP
Benchmarking MCP Servers and Stateful API Workflows: Latency, Throughput and Tokens per Call
Diagnose a Slow API From One Request: DNS, Connect, TLS, Server Wait and Transfer
Finding API Endpoints, Tables and Flags Nobody Uses Takes Code and Traffic Together
Fuzzing MCP Servers: Generate Bad Arguments From the Tool Schema and Watch What Breaks
Give Any API a History: Poll It, Hash It and Query Old Versions With SQL
Infer Your API's Real Contract From Traffic, Then Diff It Against the Docs

Copyright © 2026 Technologies.org

Media Partners: Market Analysis · Market Research · Referently · Photography