Quantum Computing Inc. Introduces Quantum Consulting

January 19, 2022

LEESBURG, Va., Jan. 19, 2022 — Quantum Computing Inc. (QCI), a leader in unleashing the power of quantum computing for non-quantum experts, today announced its consulting practice, QCI Qonsulting, and Path2Quantum (P2Q), a four-phase framework that organizations can use to explore, measure, and strategically plan their quantum computing adoption. The company also announced its first Qonsulting customer, employee staffing company Quad M Solutions, Inc. (Quad M) (OTC: MMMM). QCI will deliver quantum-ready solutions to Quad M for optimization of its health insurance underwriting services.

QCI Qonsulting engagements leverage proven expertise in vendor-neutral quantum software and algorithms, as well as the company’s ready-to-run quantum software, Qatalyst. QCI believes that Qonsulting will empower organizations to chart a comprehensive strategic path to quantum, while dramatically de-risking time and investment in early quantum exploration.

Investment in quantum technologies will grow from $412 million in 2020 to $8.6 billion by 2027, according to research firm IDC. Organizations that get started now will have a significant competitive advantage over those that continue to wait until quantum computing is a proven technology. However, the complexity of quantum hardware and software development are forcing organizations to invest significantly in elite quantum expertise just to explore quantum-possible use cases for their potential business value.

QCI’s Qonsulting and Qatalyst offer a simpler, more efficient choice by providing organizations with a straightforward path to explore a wide array of quantum options across diverse QPUs with no need for expensive quantum development. They benefit from a comprehensive and accelerated quantum exploration with a much lower associated investment and risk.

“While some vendors are focused on selling expensive QPU access or complex quantum programming, we’re offering the framework, expertise, and ready-to-run software needed to make quantum accessible and available to today’s subject matter experts, enabling them to freely explore its potential value,” said Robert Liscouski, CEO of QCI. “Qonsulting leverages our team’s diverse expertise in quantum systems and software to overcome business challenges. We look forward to working with a wide range of organizations to explore their best path to quantum, free of vendor lock-in and expensive software investment.”

“Consulting firms are already exploring the best path to business value using our Qatalyst technology and software in sectors such as wind energy, banking, healthcare, and oil and gas. Based on those successes, we know Qonsulting addresses a much-needed challenge in the marketplace,” added Liscouski.

Qonsulting provides ready-to-respond experts focused on identifying the best possible path to quantum computing adoption for solving practical and often critical use cases. The QCI team brings unique expertise across all QPUs and CPUs to transform problems into quantum-ready problems. QCI’s advanced skill set also includes deep optimization, community detection, and machine learning, as well as experience developing market-leading quantum innovations.

Qonsulting also features Qatalyst ready-to-run quantum software, providing business users with straightforward access to quantum computing. Business subject matter experts learn to easily model, submit, and solve their problems on quantum-ready and quantum systems, with no quantum expertise required.

Primary to Qonsulting is the commitment to chart and execute a practical and successful pathway to quantum. QCI’s P2Q framework defines four flexible phases in the journey to initial and ongoing quantum value. Each phase builds on the exploration and lessons learned from the previous phase. This results in organizations defining a comprehensive and strategic plan for quantum computing adoption. Companies may start at different points based on their needs and readiness. The framework is outlined briefly below:

  • Phase I: Identify expectations, evaluate quantum-possible use cases/problems/applications and prioritize quantum-possible opportunities.
  • Phase II: Explore quantum hardware and software options, define best infrastructure to test and measure for specific quantum-possible problems.
  • Phase III: Test quantum problems and infrastructures across diverse configurations, from quantum-ready classical to hybrid to pure quantum, tune problems, measure potential. Identify the best possible strategic phases to move forward with quantum, including target infrastructures, timing for each phase as QPUs advance, and expected results at each stage.
  • Phase IV: Begin initial processing based on the Phase III plan. Test, refine and continue to advance, as clients identify the next quantum-possible opportunities in the successive Phase I.

To learn more about QCI’s Qonsulting offering and P2Q framework, visit www.quantumcomputinginc.com/qonsulting.

About Quantum Computing Inc.

Quantum Computing Inc. (QCI) (Nasdaq: QUBT) is focused on accelerating the value of quantum computing for real-world business solutions. The company’s flagship product, Qatalyst, is the first software to bridge the power of classical and quantum computing, hiding complexity and empowering SMEs to solve complex computational problems today. QCI’s expert team in finance, computing, security, mathematics and physics has over a century of experience with complex technologies; from leading edge supercomputing innovations, to massively parallel programming, to the security that protects nations. For more information about QCI, visit www.quantumcomputinginc.com.


Source: Quantum Computing Inc.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Can Cerabyte Crack the $1-Per-Petabyte Barrier with Ceramic Storage?

July 20, 2024

A German startup named Cerabyte is hoping to solve the burgeoning market for secondary and archival data storage with a novel approach that uses lasers to etch bits onto glass with a ceramic coating. The “grey ceramic� Read more…

Weekly Wire Roundup: July 15-July 19, 2024

July 19, 2024

It's summertime (for most of us), and the HPC-related headlines aren't as plentiful as they once were. But not everything has to happen at high tide-- this week still had some waves! Idaho National Laboratory's Bitter Read more…

ARM, Fujitsu Targeting Open-source Software for Power Efficiency in 2-nm Chip

July 19, 2024

Fujitsu and ARM are relying on open-source software to bring power efficiency to an air-cooled supercomputing chip that will ship in 2027. Monaka chip, which will be made using the 2-nanometer process, is based on the Read more…

SCALEing the CUDA Castle

July 18, 2024

In a previous article, HPCwire has reported on a way in which AMD can get across the CUDA moat that protects the Nvidia CUDA castle (at least for PyTorch AI projects.). Other tools have joined the CUDA castle siege. AMD Read more…

Quantum Watchers – Terrific Interview with Caltech’s John Preskill by CERN

July 17, 2024

In case you missed it, there's a fascinating interview with John Preskill, the prominent Caltech physicist and pioneering quantum computing researcher that was recently posted by CERN’s department of experimental physi Read more…

Aurora AI-Driven Atmosphere Model is 5,000x Faster Than Traditional Systems

July 16, 2024

While the onset of human-driven climate change brings with it many horrors, the increase in the frequency and strength of storms poses an enormous threat to communities across the globe. As climate change is warming ocea Read more…

Can Cerabyte Crack the $1-Per-Petabyte Barrier with Ceramic Storage?

July 20, 2024

A German startup named Cerabyte is hoping to solve the burgeoning market for secondary and archival data storage with a novel approach that uses lasers to etch Read more…

SCALEing the CUDA Castle

July 18, 2024

In a previous article, HPCwire has reported on a way in which AMD can get across the CUDA moat that protects the Nvidia CUDA castle (at least for PyTorch AI pro Read more…

Aurora AI-Driven Atmosphere Model is 5,000x Faster Than Traditional Systems

July 16, 2024

While the onset of human-driven climate change brings with it many horrors, the increase in the frequency and strength of storms poses an enormous threat to com Read more…

Shutterstock 1886124835

Researchers Say Memory Bandwidth and NVLink Speeds in Hopper Not So Simple

July 15, 2024

Researchers measured the real-world bandwidth of Nvidia's Grace Hopper superchip, with the chip-to-chip interconnect results falling well short of theoretical c Read more…

Shutterstock 2203611339

NSF Issues Next Solicitation and More Detail on National Quantum Virtual Laboratory

July 10, 2024

After percolating for roughly a year, NSF has issued the next solicitation for the National Quantum Virtual Lab program — this one focused on design and imple Read more…

NCSA’s SEAS Team Keeps APACE of AlphaFold2

July 9, 2024

High-performance computing (HPC) can often be challenging for researchers to use because it requires expertise in working with large datasets, scaling the softw Read more…

Anders Jensen on Europe’s Plan for AI-optimized Supercomputers, Welcoming the UK, and More

July 8, 2024

The recent ISC24 conference in Hamburg showcased LUMI and other leadership-class supercomputers co-funded by the EuroHPC Joint Undertaking (JU), including three Read more…

Generative AI to Account for 1.5% of World’s Power Consumption by 2029

July 8, 2024

Generative AI will take on a larger chunk of the world's power consumption to keep up with the hefty hardware requirements to run applications. "AI chips repres Read more…

Atos Outlines Plans to Get Acquired, and a Path Forward

May 21, 2024

Atos – via its subsidiary Eviden – is the second major supercomputer maker outside of HPE, while others have largely dropped out. The lack of integrators and Atos' financial turmoil have the HPC market worried. If Atos goes under, HPE will be the only major option for building large-scale systems. Read more…

Everyone Except Nvidia Forms Ultra Accelerator Link (UALink) Consortium

May 30, 2024

Consider the GPU. An island of SIMD greatness that makes light work of matrix math. Originally designed to rapidly paint dots on a computer monitor, it was then Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock_1687123447

Nvidia Economics: Make $5-$7 for Every $1 Spent on GPUs

June 30, 2024

Nvidia is saying that companies could make $5 to $7 for every $1 invested in GPUs over a four-year period. Customers are investing billions in new Nvidia hardwa Read more…

Nvidia Shipped 3.76 Million Data-center GPUs in 2023, According to Study

June 10, 2024

Nvidia had an explosive 2023 in data-center GPU shipments, which totaled roughly 3.76 million units, according to a study conducted by semiconductor analyst fir Read more…

AMD Clears Up Messy GPU Roadmap, Upgrades Chips Annually

June 3, 2024

In the world of AI, there's a desperate search for an alternative to Nvidia's GPUs, and AMD is stepping up to the plate. AMD detailed its updated GPU roadmap, w Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top Read more…

Intel’s Next-gen Falcon Shores Coming Out in Late 2025 

April 30, 2024

It's a long wait for customers hanging on for Intel's next-generation GPU, Falcon Shores, which will be released in late 2025.  "Then we have a rich, a very Read more…

Leading Solution Providers

Contributors

Google Announces Sixth-generation AI Chip, a TPU Called Trillium

May 17, 2024

On Tuesday May 14th, Google announced its sixth-generation TPU (tensor processing unit) called Trillium.  The chip, essentially a TPU v6, is the company's l Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

IonQ Plots Path to Commercial (Quantum) Advantage

July 2, 2024

IonQ, the trapped ion quantum computing specialist, delivered a progress report last week firming up 2024/25 product goals and reviewing its technology roadmap. Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire