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The Case Against Quantum Computing

The proposed strategy relies on manipulating with high precision an unimaginably huge number of variables

10 min read
Illustration: Christian Gralingen
Illustration: Christian Gralingen

Quantum computing is all the rage. It seems like hardly a day goes by without some news outlet describing the extraordinary things this technology promises. Most commentators forget, or just gloss over, the fact that people have been working on quantum computing for decades—and without any practical results to show for it.

We've been told that quantum computers could “provide breakthroughs in many disciplines, including materials and drug discovery, the optimization of complex systems, and artificial intelligence." We've been assured that quantum computers will “forever alter our economic, industrial, academic, and societal landscape." We've even been told that “the encryption that protects the world's most sensitive data may soon be broken" by quantum computers. It has gotten to the point where many researchers in various fields of physics feel obliged to justify whatever work they are doing by claiming that it has some relevance to quantum computing.

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The Aftershocks of the EV Transition Could Be Ugly

To avoid unintended consequences, bring realism to the table

10 min read
CEO of Dodge Brand standing on a podium next to a Dodge Charger Daytone SRT concept all-electric muscle car. Behind him a giant screen displaying the sentence: The Rules Have Changed.

Tim Kuniskis, CEO of Dodge Brand, Stellantis, introduces the Dodge Charger Daytona SRT Concept all-electric muscle car on August 17, 2022 in Pontiac, Michigan.

Bill Pugliano/Getty Images

The introduction of any new system causes perturbations within the current operating environment, which in turn, create behavioral responses, some predictable, many not. As University of Michigan professor emeritus and student of system-human interactions John Leslie King observes “People find ways to use systems for their own benefit not anticipated by designers and developers. Their behavior might even be contradictory to hoped-for outcomes.”

“Change rides on the rails of what doesn’t change,” King notes, “including people being self-serving.”

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Learn How Global Configuration Management and IBM CLM Work Together

In this presentation we will build the case for component-based requirements management

2 min read

This is a sponsored article brought to you by 321 Gang.

To fully support Requirements Management (RM) best practices, a tool needs to support traceability, versioning, reuse, and Product Line Engineering (PLE). This is especially true when designing large complex systems or systems that follow standards and regulations. Most modern requirement tools do a decent job of capturing requirements and related metadata. Some tools also support rudimentary mechanisms for baselining and traceability capabilities (“linking” requirements). The earlier versions of IBM DOORS Next supported a rich configurable traceability and even a rudimentary form of reuse. DOORS Next became a complete solution for managing requirements a few years ago when IBM invented and implemented Global Configuration Management (GCM) as part of its Engineering Lifecycle Management (ELM, formerly known as Collaborative Lifecycle Management or simply CLM) suite of integrated tools. On the surface, it seems that GCM just provides versioning capability, but it is so much more than that. GCM arms product/system development organizations with support for advanced requirement reuse, traceability that supports versioning, release management and variant management. It is also possible to manage collections of related Application Lifecycle Management (ALM) and Systems Engineering artifacts in a single configuration.

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