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NEW DELHI: India is witnessing a boom in deeptech startups in niche areas like cybersecurity, quantum computing, AI and semiconductor, and the country is now home to more than 3, 000 such startups that raised $2.7 billion in 2021 -- a 1.6 times growth over 2020 -- a new Nasscom report said on Monday.

The country added over 210 deeptech startups in 2021 alone, and Bengaluru and Delhi-NCR are leading them in the country, according to a Nasscom-Zinnov report.

"The Indian deeptech ecosystem has also fortified the job creation with over 4, 000 people being employed across 14 potential deeptech unicorns and is expected to increase by 2X in headcount by 2026, " said Debjani Ghosh, President, Nasscom.

The country is now home to 500 inventive deeptech startups, creating workforce across technologies such as drones, robotics, 3D printing and AI -- with the potential to develop new intellectual properties backed by scientific advances and fundamental research.

The deeptech ecosystem has grown at a staggering rate of 53 per cent CAGR in the last 10 years, growing at par with the Indian tech startups.

Nearly 70-75 per cent deeptech startups have at least 15 per cent of their workforce skilled in deep technologies, the report mentioned.

"Strategic partnership with the government, academia, global investors, streamlined corporate collaboration and dedicated test-bed programmes can create a massive impact on India's deeptech story, " said Ghosh.

Although in a nascent stage compared to the US, Europe, Israel and China, the Indian deeptech ecosystem is expanding fast.

The industry is witnessing more start-ups emerging to solve global mega challenges of clean tech, zero hunger, smart cities and climate actions, the report said.

In 2021, over 270 unique startups raised $2.7 billion across 319 deals, with AI and big data and analytics being the top technologies raising equity investments.

The seed stage startups have witnessed a 2.3 times growth in equity investments in 2021, as compared to 2020, raising a total of $186 million funding in 2021.

Among verticals, supply chain management (SCM) and logistics were the most funded sectors in 2021, with deeptech startups raising funding across use cases like drone delivery, autonomous delivery bots, cold chain monitoring and fleet management, the report noted.

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India now home to 3K deeptech startups that raised $2.7bn in 2021 - Punjab News Express

News is first, and while it may be mid-August of 2022, NVIDIA had a bad quarter in Q2 2023 already. Not the first thing wed do if time travel was realized, but it takes all kinds. We also discuss reports of the AMD Ryzen 7000 DDR5 sweet spot, look at some re-purposed retro tech from the 2022 Hackaday Prize winners, and look into Gigabytes replacement for the Z690i Ultra mobo. Plus mandatory Intel Arc news (they went PRO), and the usual gaming quick hits and depressing security corner.

Featured this week is Kents third installment in the upgrading in mid-2022 blog, with further explorations of the major and minor components he chose, and why.

Thank you to our Patreon members both new and current ones that are bumping their patronage! Could not be doing this without you all!This show cannot go on without you you know who you are, please consider helping our efforts. It most definitely helps keep us on the air. Thank you!

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Podcast #689 - Ryzen 7000 RAM Speed, NVIDIA's Bad Quarter, Intel Arc Pro GPUs, Hackaday Prizes, Quantum Computing Fail and MORE - PC Perspective

This Quarterly Report on Form 10-Q contains statements that may constitute"forward-looking statements" within the meaning of Section 27A of the SecuritiesAct of 1933, as amended (the "Securities Act"), and Section 21E of theSecurities Exchange Act of 1934, as amended (the "Exchange Act"), that involvesubstantial risks and uncertainties. All statements contained in this QuarterlyReport on Form 10-Q other than statements of historical fact, includingstatements regarding our future results of operations and financial position,our business strategy and plans, and our objectives for future operations, areforward-looking statements. The words "believes," "expects," "intends,""estimates," "projects," "anticipates," "will," "plan," "may," "should," orsimilar language are intended to identify forward-looking statements.It is routine for our internal projections and expectations to change throughoutthe year, and any forward-looking statements based upon these projections orexpectations may change prior to the end of the next quarter or year. Readers ofthis Quarterly Report on Form 10-Q are cautioned not to place undue reliance onany such forward-looking statements. As a result of a number of known andunknown risks and uncertainties, our actual results or performance may bematerially different from those expressed or implied by these forward-lookingstatements. Risks and uncertainties are identified under "Risk Factors" inItem 1A herein and in our other filings with the Securities and ExchangeCommission (the "SEC"). All forward-looking statements included herein are madeonly as of the date hereof. Unless otherwise required by law, we do notundertake, and specifically disclaim, any obligation to update anyforward-looking statement, whether as a result of new information, futureevents, or otherwise after the date of such statement.You should read the following discussion and analysis of our financial conditionand results of operations together with our unaudited condensed consolidatedfinancial statements and related notes included elsewhere in this QuarterlyReport on Form 10-Q, and our audited consolidated financial statements andrelated notes for the year ended December 31, 2021, filed with the SEC onMarch 28, 2022. Unless the context otherwise requires, the terms "IonQ," "LegacyIonQ" "we," "us," "our" and similar terms refer to IonQ Quantum, Inc. prior tothe consummation of the Business Combination and IonQ, Inc. and its wholly ownedsubsidiaries after the consummation of the Business Combination. References to"dMY" refer to the predecessor company prior to the consummation of the BusinessCombination.OverviewWe are developing quantum computers designed to solve the world's most complexproblems, and transform business, society, and the planet for the better. Webelieve that our proprietary technology, our architecture, and the technologyexclusively available to us through license agreements will offer us advantagesboth in terms of research and development, as well as the commercial value ofour intended product offerings. We sell access to quantum computers, and we arein the process of researching and developing technologies for quantum computerswith increasing computational capabilities. We currently make access to ourquantum computers available via three major cloud platforms, Amazon WebServices' (AWS) Amazon Braket, Microsoft's Azure Quantum, and Google's CloudMarketplace, and to select customers via our own cloud service.We are still in the early stages of generating revenue. We have incurredsignificant operating losses since our inception. Our net losses were $5.9million for the six months ended June 30, 2022, and we expect to continue toincur significant losses for the foreseeable future. As of June 30, 2022, we hadan accumulated deficit of $151.7 million. We expect to continue to incur lossesfor the foreseeable future as we prioritize reaching the technical milestonesnecessary to achieve increasingly higher number of stable qubits and higherlevels of fidelity than that which presently exists- prerequisites for quantumcomputing to reach broad quantum advantage.

The Merger Agreement and Public Company Costs

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Table of Contents

Business and Technical Highlights

IonQ announced a paid contract with Airbus, who is using Aria to explore

critical aviation variables that make this problem particularly difficult

IonQ announced a paid contract with Dow, a global leader in chemistry and

material science, who is using Aria to explore the boundaries of quantum

computing in materials discovery research. They join other customers who

are partnering with IonQ to explore the intersection of quantum machine

IonQ announced the results of a partnership with GE Research to develop a

quantum algorithm that manages financial risk exposure. The work used a

large data set to generate risk models across up to four variables and is

broadly applicable to industries which have risk-management needs, such

computer in the world with 23 algorithmic qubits, which will be available

tomorrow to all users of Microsoft Azure Quantum. This announcement

IonQ signed a formal agreement to collaborate with the University of

Maryland on a project for the National Science Foundation. For this, IonQ

IonQ finalized a subcontract with Zapata Computing to collaborate on a

offering, representing more than a 130,000x increase in computational

IonQ announced an 8x increase in the computation power of IonQ Harmony,

which has achieved up to #AQ 9, up from a previous benchmark of #AQ 6.

Harmony systems are available to customers via all three major cloud

partners, including Microsoft Azure, Amazon Web Services, and Google

processing, or NLP. IonQ created quantum NLP algorithms to represent

linguistic qualities like ambiguity, vagueness, and novelty which are

notoriously difficult to represent in classical compute. No previously

published work has demonstrated ambiguity resolution or language

generation working on live quantum hardware. IonQ believes quantum

techniques of this nature can dramatically improve NLP performance.

IonQ has identified a facility in Seattle, Washington to host its first

after serving as Vice President of Systems Engineering at PsiQuantum and

IonQ welcomed Kathy Chou to the IonQ Board of Directors in July 2022. Ms.

Chou is currently the Senior Vice President of SaaS Engineering at

Nutanix, and brings a wealth of experience in go-to-market strategy and

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Table of Contents

Impact of COVID-19 on Our Business

Key Components of Results of Operations

Revenue

We are currently focused on marketing our QCaaS and have entered into, and arecontinuing to enter into, new contracts with customers.

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Research and development

General and administrative

General and administrative expenses consist of personnel-related expenses,including salaries, benefits and stock-based compensation, and allocatedfacility and other costs for our corporate, executive, finance, and otheradministrative functions. General and administrative expenses also includeexpenses for outside professional services, including legal, auditing andaccounting services, recruitment expenses, information technology, travelexpenses and certain non-income taxes, insurance, and other administrativeexpenses.

Depreciation and amortization

Depreciation and amortization expense results from depreciation and amortizationof our property and equipment and intangible assets that is recognized overtheir estimated lives.

Nonoperating Costs and Expenses

Change in fair value of warrant liabilities

Interest income, net

Interest income, net consists of income earned on our money market funds andother available-for-sale investments.

Other income (expense), net

Other income (expense), net consists of realized losses on ouravailable-for-sale investments and certain other expenses.

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Table of Contents

Results of Operations

41,771 17,544

(1) Cost of revenue, research and development, sales and marketing, and general

Comparison of the Three Months Ended June 30, 2022 and 2021

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Table of Contents

Research and development expenses increased by $4.2 million, or 76%, to$9.7 million for the three months ended June 30, 2022, from $5.5 million for thethree months ended June 30, 2021. The increase was primarily driven by a$2.5 million increase in payroll-related expenses, including stock-basedcompensation of $1.7 million, as a result of increased headcount, and a$1.5 million increase in materials, supplies and equipment costs.

Sales and marketing

Depreciation and amortization

Depreciation and amortization $ 1,451 $ 502 $ 949 189 %

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Table of Contents

Change in fair value of warrant liabilities

Change in fair value of warrant liabilities $ 16,061 $

Comparison of the Six Months Ended June 30, 2022 and 2021

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Table of Contents

Depreciation and amortization

Depreciation and amortization $ 2,717 $ 947 $ 1,770

187 %

Change in fair value of warrant liabilities

Change in fair value of warrant liabilities $ 29,509 $ - $ 29,509

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Interest income, net increased by $1.9 million to $1.9 million for the sixmonths ended June 30, 2022, from zero for the six months ended June 30, 2021.The increase was primarily driven by interest income earned on our cashequivalents and available-for-sale investments.

Liquidity and Capital Resources

Future Funding Requirements

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Table of Contents

Cash flows

The following table summarizes our cash flows for the period indicated:

Cash flows from operating activities

Cash flows from investing activities

Cash flows from financing activities

Net cash provided by financing activities during the six months ended June 30,2021, was $5.4 million primarily resulting from proceeds from stock optionsexercised.

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Table of Contents

Critical Accounting Estimates

There have been no material changes to our critical accounting estimates fromthose described under "Management's Discussion and Analysis of FinancialCondition and Results of Operations" in our Annual Report.

Recently Issued and Adopted Accounting Standards

See Note 2, Summary of Significant Accounting Policies, in the notes to ourcondensed consolidated financial statements included in Part I, Item I of thisQuarterly Report on Form 10-Q for a discussion of recent accountingpronouncements.

Emerging Growth Company and Smaller Reporting Company Status

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Table of Contents

Edgar Online, source Glimpses

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IONQ, INC. Management's Discussion and Analysis of Financial Condition and Results of Operations (form 10-Q) - Marketscreener.com

Quantinuum, the quantum computing company spun out from Honeywell, said this week that it had made a breakthrough in the technology that should help accelerate commercial adoption of quantum computers.

It has to do with real-time correction of errors.

One of the biggest issues with using quantum computers for any practical purpose is that the circuits in a quantum computer are highly susceptible to all kinds of electromagnetic interference, which causes errors in its calculations. These calculation errors must be corrected, either by using software, often after a calculation has run, or by using other physical parts of the quantum circuitry to check for and correct the errors in real time. So far, while scientists have theorized ways for doing this kind of real-time error correction, few of the methods had been demonstrated in practice on a real quantum computer.

The theoretically game-changing potential of quantum computers stems from their ability to harness the strange properties of quantum mechanics. These machines may also speed up the time it takes to run some calculations that can be done today on supercomputers, but which take hours or days. In order to achieve those results, though, ironing out the calculation errors is of utmost importance. In 2019, Google demonstrated that a quantum computer could perform one esoteric calculation in 200 seconds that it estimated would have taken a traditional supercomputer more than 10,000 years to compute. In the future, scientists think quantum computers will help make the production of fertilizer much more efficient and sustainable as well as create new kinds of space-age materials.

Thats why it could be such a big deal that Quantinuum just said it has demonstrated two methods for doing real-time error correction of the calculations a quantum computer runs.

Tony Uttley, Quantinuums chief operations officer, says the error-correction demonstration is an important proof point that the company is on track to being able to deliver a quantum advantage for some real-world commercial applications in the next 18 to 24 months. That means businesses will able to run some calculationspossibly for financial risk or logistics routingsignificantly faster, and perhaps with better results, by using quantum computers for at least part of the calculation than they could by just using standard computer hardware. This lends tremendous credibility to our road map, Uttley said.

Theres a lot of money in Quantinuums road map. This past February, the firms majority shareholder, Honeywell, foresaw revenue in Quantinuums future of $2 billion by 2026. That future could have just drawn nearer.

Uttley says that today, there is a wide disparity in the amount of money different companies, even direct competitors in the same industry, are investing in quantum computing expertise and pilot projects. The reason, he says, is that there are widely varying beliefs in how soon quantum computers will be able to run key business processes faster or better than existing methods on standard computers. Some people think it will happen in the next two years. Others think these nascent machines will only start to realize their business potential a decade from now. Uttley says he hopes this weeks error-correction breakthrough will help tip more of Quantinuums potential customers into the two-year camp.

A $2 billion market opportunity

Honeywells projection of at least $2 billion in revenue from quantum computing by 2026 was a revisiona year earlier than it had previously forecast. The error-correction breakthrough ought to give Honeywell more confidence in that projection.Quantinuum is one of the most prominent players in the emerging quantum computer industry, with Honeywell having made a bold and so far successful bet on one particular way of creating a quantum computer. That method is based on using powerful electromagnets to trap and manipulate ions. Others, such as IBM , Google, and Rigetti Computing, have created quantum computers using superconducting materials. Microsoft has been trying to create a variation of this superconducting-based quantum computer but using a slightly different technology that would be less prone to errors. Still others are creating quantum computers using lasers and photons. And some companies, such as Intel, have been working on quantum computers where the circuits are built using more conventional semiconductors.

The ability to perform real-time error correction could be a big advantage for Quantinuum and its trapped-ionbased quantum computers as it competes for a commercial edge over competing quantum computer companies. But Uttley points out that besides selling access to its own trapped-ion quantum computers through the cloud, Quantinuum also helps customers run algorithms on IBMs superconducting quantum computers. (IBM is also an investor in Quantinuum.)

Different kinds of algorithms and calculations may be better suited to one kind of quantum computer over another. Trapped ions tend to remain in a quantum state for relatively long periods of timewith the record being an hour. Superconducting circuits, on the other hand, tend to stay in a quantum state for a millisecond or less. But this also means that it takes much longer for a trapped-ion quantum computer to run a calculation than for a superconducting one, Uttley says. He envisions a future of hybrid computing where different parts of an algorithm are run on different machines in the cloudpartially on a traditional computer, partly on a trapped-ion quantum computer, and partly on a superconducting quantum computer.

In a standard computer, information is represented in a binary form, either a 0 or a 1, called a bit. Quantum computers use the principles of quantum mechanics to form their circuits, with each unit of the circuit called a qubit. Qubits can represent both 0 and 1 simultaneously. This means that each additional qubit involved in performing calculations doubles the power of a quantum computer. This doubling of power for every additional qubit is one reason that quantum computers will, in theory, be far more powerful than even todays largest supercomputers. But this is only true if the issue of error-correction can be successfully tackled and if scientists can figure out how to successfully link enough qubits together to exceed the power of existing standard high-performance computing clusters.

Quantinuum demonstrated two different error-correction methodsone called the five-qubit code and the other called the Steane code. Both methods use multiple physical qubits to represent one logical part of the circuit, with some of those qubits actually performing the calculation and the others checking and correcting errors in the calculation. As the name suggests, the five-qubit code uses five qubits, while the Steane code uses seven qubits. Uttley says that Quantinuum discovered that the Steane code worked significantly better than the five-qubit code.

That may mean it will become the dominant form of error correction, at least for trapped-ion quantum computers, going forward.

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One of the biggest names in quantum computing could have just cracked open the multibillion-dollar market with a new breakthrough - Fortune

D-Wave and DPCM Complete Their Business Combination

The companies announced that their SPAC merger has been approved and that D-Wave will become a public company and will be listed on the New York Stock Exchange (NYSE) under the ticker symbols QBTS for the common stock and QBTS WS for the warrants. Members of the companys management will ring the opening bell of the NYSE when trading starts on Monday, August 8. The transaction was first announced in February of this year and a shareholder vote to approve it occurred earlier this week. Shareholders of DPCM Capitals Class A Common Stock had the right to redeem their shares for pro rata portion of the funds in the companys trust account. The shareholders elected to redeem about 29 million of these shares out of the 37.5 million total requiring a total payment of $291 million for the redemptions. So those funds will not be available to D-Wave for working capital. Additional information about the completion of this business combination is available in a press release that can be seen here and also the Form 8-K the companies have filed with the Securities and Exchange Commission (SEC) here.

August 5, 2022

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D-Wave and DPCM Complete Their Business Combination - Quantum Computing Report